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by Viatcheslav B. Melas
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Lecture Notes in Statistics ; 184
オンライン: http://dx.doi.org/10.1007/0-387-31610-8
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by Prem C. Consul, Felix Famoye
出版情報: Boston, MA : Birkhäuser Boston, 2006
オンライン: http://dx.doi.org/10.1007/0-8176-4477-6
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by Phillip I. Good
出版情報: Boston, MA : Birkhäuser Boston, 2006
オンライン: http://dx.doi.org/10.1007/0-8176-4444-X
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4.

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edited by Angela Dean, Susan Lewis
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-28014-6
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by Per Kragh Andersen, Lene Theil Skovgaard
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Statistics for Biology and Health ; 0
オンライン: http://dx.doi.org/10.1007/978-1-4419-7170-8
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edited by Miguel González Velasco, Inés M. Puerto, Rodrigo Martínez, Manuel Molina, Manuel Mota, Alfonso Ramos
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Lecture Notes in Statistics ; 197
オンライン: http://dx.doi.org/10.1007/978-3-642-11156-3
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by Hannu Oja
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Lecture Notes in Statistics ; 199
オンライン: http://dx.doi.org/10.1007/978-1-4419-0468-3
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edited by V.V. Rykov, N. Balakrishnan, M.S. Nikulin
出版情報: Boston : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4971-5
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9.

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by Robert H. Shumway, David S. Stoffer
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-7865-3
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10.

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by Pierre Lafaye Micheaux, Rémy Drouilhet, Benoît Liquet
出版情報: Paris : Springer-Verlag France, 2011
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0115-5
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by Mark J. van der Laan, Sherri Rose
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-9782-1
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12.

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by David Makowski, Hervé Monod
出版情報: Paris : Springer Paris, 2011
シリーズ名: Collection Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0251-0
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13.

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by Sophie Dabo-Niang, Frédéric Ferraty
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2008
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-2062-1
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edited by Joseph Glaz, Vladimir Pozdnyakov, Sylvan Wallenstein
出版情報: Boston : Birkhäuser Boston, 2009
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4749-0
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15.

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by Eva Cantoni, Philippe Huber, Elvezio Ronchetti
出版情報: Paris : Springer-Verlag Paris, 2009
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-99671-9
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edited by Alessandra Giovagnoli, Anthony C. Atkinson, Bernard Torsney, Caterina May
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-2410-0
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17.

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by Michel Lejeune
出版情報: Paris : Springer-Verlag Paris, 2010
シリーズ名: Statistique et probabilitès appliquèes ; 0
オンライン: http://dx.doi.org/10.1007/978-2-8178-0157-5
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18.

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by Jie Chen, Arjun K. Gupta
出版情報: Boston : Birkhäuser Boston, 2012
オンライン: http://dx.doi.org/10.1007/978-0-8176-4801-5
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19.

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by Niel Hens, Ziv Shkedy, Marc Aerts, Christel Faes, Pierre Van Damme, Philippe Beutels
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Statistics for Biology and Health ; 63
オンライン: http://dx.doi.org/10.1007/978-1-4614-4072-7
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Mathematical models for infectious diesease
The static model
The dynamic model
The stochastic model
Implementation of models in MATLAB
Data sources for modelling infectious diseases
Estimation from serological data
Parametric models for teh prevalence and the force of infection
Non-parametric approaches to model the prevalence and force of infection
Semi-parametric approaches to model the prevalence and force of infection
A Bayesian approach
Modelling the prevalence and the force of infection direction from antibody levels
Modelling multivariate serological data
Estimation from other data sources
Estimating mixing patterns and Ro in a heterogenous population
Modelling in a homogeneous population
Modelling in a heterogeneous population
Modelling AIDS outbreak data
Modelling hepatitis C among injection drug users
Modelling dengue
Modelling bovine herpes virus in cattle
Mathematical models for infectious diesease
The static model
The dynamic model
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by Jay Bartroff, Tze Leung Lai, Mei-Chiung Shih
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Series in Statistics ; 298
オンライン: http://dx.doi.org/10.1007/978-1-4614-6114-2
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Introduction
Nonlinear Regression, Experimental Design, and Phase I Clinical Trials
Sequential Testing Theory and Stochastic Optimization over Time
Group Sequential Design of Phase II and III Trials
Sequential Methods for Vaccine Safety Evaluation and Surveillance in Public Health
Time-Sequential Design of Clinical Trials with Failure-Time Endpoints
Confidence Intervals and p-Values
Adaptive Design of Confirmatory Trials
References
Introduction
Nonlinear Regression, Experimental Design, and Phase I Clinical Trials
Sequential Testing Theory and Stochastic Optimization over Time
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by Richard Valliant, Jill A. Dever, Frauke Kreuter
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Statistics for Social and Behavioral Sciences ; 51
オンライン: http://dx.doi.org/10.1007/978-1-4614-6449-5
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Designing Single-stage Sample Surveys
Multistage Designs
Survey Weights and Analyses
Other Topics
Appendices
Designing Single-stage Sample Surveys
Multistage Designs
Survey Weights and Analyses
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edited by Haijun Li, Xiaohu Li
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Lecture Notes in Statistics ; 208
オンライン: http://dx.doi.org/10.1007/978-1-4614-6892-9
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Theory of Stochastic Orders
Stochastic Comparison of Order Statistics
Stochastic Orders in Reliability
Stochastic Orders in Risk Analysis
Applications
Bibliography
Authors Index
Subjects Index
Theory of Stochastic Orders
Stochastic Comparison of Order Statistics
Stochastic Orders in Reliability
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edited by Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00218-7
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A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
Checking Linear Regression Models Taking Time into Account
Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints
Estimating and Quantifying Uncertainties on Level Sets Using the Vorobev Expectation and Deviation with Gaussian Process Models
Optimal Designs for Multiple-Mixture by Process Variable Experiments
Optimal Design of Experiments for Delayed Responses in Clinical Trials
Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments
Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling
Randomization Based Inference for the Drop-The-Loser Rule
Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response
Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values
Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity
Optimal Design for Count Data with Binary Predictors in Item Response Theory
Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles
Approximate Bayesian Computation Design (ABCD), An Introduction
Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population Pk/Pd Studies
c-Optimal Designs for the Bivariate Emax Model
On the Functional Approach to Locally D-Optimum Design for Multiresponse Models
Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models
D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring
Convergence of An Algorithm for Constructing Minimax Designs
Extended Optimality Criteria for Optimum Design in Nonlinear Regression
Optimal Design for Multivariate Models with Correlated Observations
Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression
D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics
Random Projections in Model Selection and Related Experimental Design Problems
Optimal Design for the Bounded Log-Linear Regression Model
A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties
Robust Experimental Design for Choosing Between Models of Enzyme Inhibition
Checking Linear Regression Models Taking Time into Account
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by Christiane Fuchs
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-25969-2
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Introduction
Stochastic Modelling in Life Sciences
Stochastic Differential Equations and Diffusions in a Nutshell
Approximation of Markov Jump Processes by Diffusions
Diffusion Models in Life Sciences
Parametric Inference for Discretely-observed Diffusions
Bayesian Inference for Diffusions with Low-frequency Observations
Application I: Spread of Influenza
Application II: Analysis of Molecular Binding
Conclusion and Outlook
Benchmark Models
Miscellaneous
Supplementary Material for Application I
Supplementary Material for Application II
Notation
References
Introduction
Stochastic Modelling in Life Sciences
Stochastic Differential Equations and Diffusions in a Nutshell
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edited by Paulo Eduardo Oliveira, Maria da Graça Temido, Carla Henriques, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-32419-2
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Sampling and Modeling
Estimation
Extremes
Testing Statistical Hypothesis
Models with Stochastic Differential Equations
Stochastic Processes.
Sampling and Modeling
Estimation
Extremes
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by Jan Beran, Yuanhua Feng, Sucharita Ghosh, Rafal Kulik
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-35512-7
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Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
Limit Theorems
Statistical Inference for Stationary Processes
Statistical Inference for Nonlinear Processes
Statistical Inference for Nonstationary Processes
Forecasting
Spatial and Space-Time Processes
Resampling
Function Spaces
Regularly Varying Functions
Vague Convergence
Some Useful Integrals
Notation and Abbreviations
Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
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edited by Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-35588-2
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Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).-  New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini)
Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici)
Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone)
Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini)
Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale)
A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde)
Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo)
Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas)
Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo)
Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro)
Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona)
A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin)
Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi)
How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves)
Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos)
A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani)
A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen)
Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini)
Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini)
Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini)
Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand)
Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri)
Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco)
Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale)
Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati)
Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin)
Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta)
Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari)
Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro  Solipaca  and Giovanni de Girolamo)
Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.)
Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale)
The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia)
Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri)
Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi)
Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi)
A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto)
Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi)
Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo)
Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati)
The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari)
Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini)
Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti)
Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris)
Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).-  New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
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by LUIGI SALMASO, Chiara Brombin
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ; 15
オンライン: http://dx.doi.org/10.1007/978-1-4614-8163-8
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by Roy Sabo, Edward Boone
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-8708-1
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Introduction
One-Sample Proportions
Two-Sample Proportions
Multi-Category Data
Summarizing Continuous Data
One-Sample Means
Two-Sample Means
Analysis of Variance
Power and Sample-Size
Association and Regression
Introduction
One-Sample Proportions
Two-Sample Proportions
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by Robert E. Kass, Uri T. Eden, Emery N. Brown
出版情報: New York, NY : Springer New York : Imprint: Springer, 2014
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-9602-1
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Introduction
Exploring Data
Probability and Random Variables
Random Vectors
Important Probability Distributions
Sequences of Random Variables
Estimation and Uncertainty
Estimation in Theory and Practice
Uncertainty and the Bootstrap
Statistical Significance
General Methods for Testing Hypotheses
Linear Regression
Analysis of Variance
Generalized Regression
Nonparametric Regression
Bayesian Methods
Multivariate Analysis
Time Series
Point Processes
Appendix: Mathematical Background
Example Index
Index
Bibliography
Introduction
Exploring Data
Probability and Random Variables
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by Bayo Lawal
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
オンライン: http://dx.doi.org/10.1007/978-3-319-05555-8
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Table of Contents attached as well. Introduction
Frequency Distributions
Numerical Description of Data
Probability and Probability Distributions
Estimation and Hypothesis Testing
Regression Analysis
Categorical Data Analysis
Experimental Design
The Completely Randomized Design
The Randomized Complete Block Design
Multiple Blocking Designs
Analysis of Covariance
Factorial Treatments Designs
The Split-Plot Design
Incomplete Block Design
Quantal-Bioassay
Repeated Measures Design
Survival Analysis
Table of Contents attached as well. Introduction
Frequency Distributions
Numerical Description of Data
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edited by Kees van Montfort, Johan Oud, Wendimagegn Ghidey
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014
オンライン: http://dx.doi.org/10.1007/978-3-642-55345-5
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Preface
List of contributors
1.Statistical Models and Methods for Incomplete Data in Randomized Clinical Trials. M.A. McIsaac and R.J. Cook
2.Bayesian Decision Theory and the Design and Analysis of Randomized Clinical Trials. A.R. Willan
3.Designing Multi-Arm Multi-Stage Clinical Studies. T.Jaki
4.Statistical Approaches to Improving Trial Efficiency and Conduct. J.Pogue, P. J. Devereaux and S.Yusuf
5.Competing Risk and Survival Analysis. K.van Montfort, P.Fennema and W.Ghidey
6.Recent Developments in Group-Sequential Designs. J.M. S. Wason
7.Statistical Inference for Non-Inferiority of a Diagnostic Procedure Compared to an Alternative Procedure, Based on the Difference in Correlated Proportions from Multiple Raters. H.Saeki and T.Tango
8.Design and Analysis of Clinical Trial Simulations. K.Kuribayashi
9.Causal Effect Estimation and Dose Adjustment in Exposure-Response Relationship Analysis. J.Wang
10.Different Methods to Analyse Results of a Randomised Controlled Trial with More Than one Follow-up Measurement. J.W. R. Twisk
11.Statistical Methods for the Assessment of Clinical Relevance. M.Kieser
12.Statistical Considerations in the Use of Composite Endpoints in Time to Event Analyses. R.J. Cook and K.-A.Lee
13.Statistical Validation of Surrogate Markers in Clinical Trials. A.Alonso, G.Molenberghs and G.van Breukelen
14.Biomarker-Based Designs of Phase III Clinical Trials for Personalized Medicine. S.Matsui, T.Nonaka and Y.Choai
15.Dose-Finding Models for Two-Agent Combination Phase I Trials. A.Hirakawa and S.Matsui
16.Multi-State Models Used in Oncology Trials. B.Gaschler-Markefski, K.Schiefele, J.Hocke and F.Fleischer
17.Review of Designs for Accommodating Patients’ or Physicians’ Preferences in Randomized Controlled Trials. A.S. Ismaila and S.D. Walter
18.Dose Finding Methods in Oncology: From the Maximum Tolerated Dose to the Recommended Phase II Dose. X.Paoletti and A.Doussau
Preface
List of contributors
1.Statistical Models and Methods for Incomplete Data in Randomized Clinical Trials. M.A. McIsaac and R.J. Cook
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edited by Zhen Chen, Aiyi Liu, Yongming Qu, Larry Tang, Naitee Ting, Yi Tsong
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: ICSA Book Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-12694-4
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Bayesian Methods in Biomedical Research
Diagnostic Medicine and Classification
Innovative Clinical Trials Design and Analysis
Modeling and Data Analysis
Personalized Medicine
Statistical Genomics and High-Dimensional Data Analysis
Bayesian Methods in Biomedical Research
Diagnostic Medicine and Classification
Innovative Clinical Trials Design and Analysis
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edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 122
オンライン: http://dx.doi.org/10.1007/978-3-319-13881-7
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目次情報:
Preliminary: Part I: Stochastic Models
Part II: Statistics
Part III: Applications
Preliminary: Part I: Stochastic Models
Part II: Statistics
Part III: Applications
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edited by Ratan Dasgupta
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 132
オンライン: http://dx.doi.org/10.1007/978-3-319-17329-0
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Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam
Some remarks on pseudo panel data
Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve
Estimation of animal abundance through imperfectly characterizing signatures
Growth Curve of Elephant Foot Yam, One sided Estimation and Confidence Band
Interrelationship between Economic Growth and Income Inequality: The Indian Experience
Growth Curve reconstruction in Damaged Experiment via Nonlinear Calibration
Growth Curve of Phase change in presence of Polycystic Ovary Syndrome
Declining patterns of average height of adult Indians between 20-49 years: State wise trends and influence of socioeconomic factors
Growth Model of some Vernacular Word Usage during Political Transition
Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with applications
Unbounded Growth Model for Word Frequencies in Political Transition
A Statistical Analysis of micro RNA: classification, identification and conservation based on structure and function
Longitudinal Growth of Elephant Foot Yam and Some Characterization Theorems- Optimal Choice of Small Regular Shapes for Accidentally Damaged Tessellation
Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam
Some remarks on pseudo panel data
Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve
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by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-18968-0
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Preface
Acronyms
1.Introduction
2.Density Estimation - DP Models
3.Density Estimation - Models Beyond the DP
4.Regression
5.Categorical Data
6.Survival Analysis
7.Hierarchical Models
8.Clustering and Feature Allocation
9.Other Inference Problems and Conclusions
Appendix: DP package
Preface
Acronyms
1.Introduction
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edited by Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-22476-3
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Preface
Part I: Functional Statistics
Attaoui, Laksaci and Ould Saïd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
Badaoui and Rhomari: BlockShrink Wavelet Density Estimator in φ-Mixing Framework
Benchikh: Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral
Girard and Louhichi: On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles
Naceri, Laksaci and Rachdi: Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates
Ouassou: Estimation of a Loss Function for Spherically Symmetric Distribution with Constraints on the Norm
Part II: Applications (Queuing Theory, Signal Analysis, Epidemiology)
Bareche and Aïssani: Impact of Nonparametric Density Estimation on the Approximation of the G/G/1 Queue by the M/G/1 One
Boualem, Cherfaoui, Djellab and Aïssani: Stochastic Analysis of an M/G/1 Retrial Queue with FCFS
Demongeot, Hamie, Hansen and Rachdi: Dynalets: A New Tool for Biological Signal Processing
Demongeot, Ghassani, Hazgui and Rachdi: Demography in Epidemics Modelling: The Copula Approach
Index
Preface
Part I: Functional Statistics
Attaoui, Laksaci and Ould Saïd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
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edited by Pankaj K. Choudhary, Chaitra H. Nagaraja, Hon Keung Tony Ng
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 149
オンライン: http://dx.doi.org/10.1007/978-3-319-25433-3
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Zaher A. Abo-Eleneen: Information Measures of Progressively Censored Samples
Barry C. Arnold: Variations on Some Exponential Characterization Themes
N. Balakrishnan: Ordering Order Statistics
Gadi Barlevy: Mandatory Disclosure and Financial Contagion
John A. Bunge: Diversity Estimation, Distribution Theory, and a Departure from the Mixed Poisson Model
Erhard Cramer: On Progressively Hybrid Censored Data from Exponential Distributions
Jonathan R. M. Hosking: Variance Estimation for L-Moments and L-Comoments
Udo Kamps: Distances between Models of Generalized Order Statistics
Sally C. Morton: Data, Design, and Analysis for Comparative Effectiveness Research Decisions
Nitis Mukhopadhyay: On Determination of an Appropriate Pilot Sample Size
Tapan Nayak: Pitman Closest Equivariant Estimators and Predictors under Location-Scale Models
Nalini Ravishanker: Hierarchical Dynamic Models for Multivariate Times Series of Counts, with Applications
Thomas J. Santner:  Using Combined Physical and Computer Experiments to Engineer Tissue Components
Zaher A. Abo-Eleneen: Information Measures of Progressively Censored Samples
Barry C. Arnold: Variations on Some Exponential Characterization Themes
N. Balakrishnan: Ordering Order Statistics
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by Eva Cantoni, Elvezio Ronchetti, Philippe Huber
出版情報: Paris : Springer-Verlag France, Paris, 2006
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-34073-4
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by Robert H. Shumway, David S. Stoffer
出版情報: New York, NY : Springer Science+Business Media, LLC, 2006
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-36276-2
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by Pierre-André Cornillon, Éric Matzner-Løber
出版情報: Paris : Springer-Verlag France, Paris, 2007
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-39693-9
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by Wolfgang Härdle, Yuichi Mori, Philippe Vieu
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2007
オンライン: http://dx.doi.org/10.1007/978-3-540-32691-5
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by János Abonyi, Balázs Feil
出版情報: Basel : Birkhäuser Verlag AG, 2007
オンライン: http://dx.doi.org/10.1007/978-3-7643-7988-9
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edited by Jesús López-Fidalgo, Juan Manuel Rodríguez-Díaz, Ben Torsney
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2007
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-1952-6
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edited by Jean-Louis Auget, N. Balakrishnan, Mounir Mesbah et al
出版情報: Boston, MA : Birkhäuser Boston, 2007
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4542-7
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by Francesco Battaglia
出版情報: Milano : Springer-Verlag Milan, 2007
シリーズ名: Unitext, Collana di Statistica e Probabilità Applicata ;
オンライン: http://dx.doi.org/10.1007/978-88-470-0603-4
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edited by Filia Vonta, Mikhail Nikulin, Nikolaos Limnios, Catherine Huber-Carol
出版情報: Boston, MA : Birkhäuser Boston, 2008
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4619-6
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by Joaquim Pinto da Costa
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-662-48344-2
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目次情報: 続きを見る
Introduction
The Weighted Rank Correlation Coefficient rW
The Weighted Rank Correlation Coefficient rW2
A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data
A Weighted Principal Component Analysis (WPCA2) for Time Series Data
Weighted Clustering of Time Series
Appendix
References
Introduction
The Weighted Rank Correlation Coefficient rW
The Weighted Rank Correlation Coefficient rW2
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by Pradip Kumar Sahu, Santi Ranjan Pal, Ajit Kumar Das
出版情報: New Delhi : Springer India : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-81-322-2514-0
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1. Theory of Point Estimation
2. Methods of Estimation
3. Theory of testing of hypothesis
4. Likelihood Ratio Test
5. Interval Estimation
6. Non-parametric test
7. Statistical Decision Theory
1. Theory of Point Estimation
2. Methods of Estimation
3. Theory of testing of hypothesis
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by Jamalludin Ab Rahman
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2015
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-981-287-925-7
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edited by M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol
出版情報: Boston : Birkhäuser Boston, 2010
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4924-1
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edited by Christos H. Skiadas
出版情報: Boston : Birkhäuser Boston, 2010
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4799-5
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by Marcel van Oijen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-55897-0
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目次情報: 続きを見る
Preface
1 Introduction to Bayesian thinking
2 Introduction to Bayesian science
3 Assigning a prior distribution
4 Assigning a likelihood function
5 Deriving the posterior distribution
6 Sampling from any distribution by MCMC
7 Sampling from the posterior distribution by MCMC
8 Twelve ways to fit a straight line
9 MCMC and complex models
10 Bayesian calibration and MCMC: Frequently asked questions
11 After the calibration: Interpretation, reporting, visualization
2 Model ensembles: BMC and BMA
13 Discrepancy
14 Gaussian Processes and model emulation
15 Graphical Modelling (GM)
16 Bayesian Hierarchical Modelling (BHM)
17 Probabilistic risk analysis and Bayesian decision theory
18 Approximations to Bayes
19 Linear modelling: LM, GLM, GAM and mixed models
20 Machine learning
21 Time series and data assimilation
22 Spatial modelling and scaling error
23 Spatio-temporal modelling and adaptive sampling
24 What next?
Appendix 1: Notation and abbreviations
Appendix 2: Mathematics for modellers
Appendix 3: Probability theory for modellers
Appendix 4: R
Appendix 5: Bayesian software
Preface
1 Introduction to Bayesian thinking
2 Introduction to Bayesian science
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by Ron Wehrens
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-662-62027-4
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Introduction. - Data
Preprocessing
Principal Component Analysis
Self-Organizing Maps. - Clustering
Classification
Multivariate Regression. - Validation
Variable Selection
Chemometric Applications
Introduction. - Data
Preprocessing
Principal Component Analysis
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by Peter F. Thall
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Pharmaceutical Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-43714-5
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目次情報: 続きを見る
1 Why Bother With Statistics?
2 Frequentists and Bayesians
3 Knocking Down the Straw Man
4 Science and Belief
5 The Perils of P-values
6 Flipping Coins
7 All Mixed Up
8 Sex, Biomarkers, and Paradoxes
9 Crippling New Treatments
10 Just Plain Wrong
11 Getting Personal
12 Multistage Treatment Regimes
References
1 Why Bother With Statistics?
2 Frequentists and Bayesians
3 Knocking Down the Straw Man
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edited by Jianqing Fan, Jianxin Pan
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-46161-4
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Part I Review of Kai-Tai Fang’s Contribution
1 Walking on the Road to the Statistical Pyramid
2 The contribution to experimental designs by Kai-Tai Fang
3 From “Clothing Standard” to “Chemometrics”
4 A Review of Professor Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China
Part II Design of Experiments
5 Is a Transformed Low Discrepancy Design Also Low Discrepancy?
6 The construction of optimal design for order-of-addition experiment via threshold accepting
7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation
8 Drug Combination Studies, Uniform Experimental Design and Extensions
9 Modified robust design criteria for Poisson mixed models
10 Study of Central Composite Design and Orthogonal Array Composite Design
11 Uniform design on manifold
Part III Multivariate Analysis
12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison
13 Estimating the Location Vector for Spherically Symmetric Distributions
14 On equidistant designs, symmetries and their violations in multivariate models
15 Estimation of covariance matrix with ARMA structure through quadratic loss function
Part IV Data Mining
16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method
17 Bayesian Mixture Models with Weight-Dependent Component Priors
18 Cosine Similarity-Based Classifiers for Functional Data
Part V Hypothesis Test and Statistical Models
19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem
20 Goodness-of-fit tests for correlated bilateral data from multiple groups
21 A Bilinear Reduced Rank Model
22 Simultaneous multiple change points estimation in generalized linear models
23 Data-Based Priors for Bayesian Model Averaging
24 Quantile regression with Gaussian kernels
Part I Review of Kai-Tai Fang’s Contribution
1 Walking on the Road to the Statistical Pyramid
2 The contribution to experimental designs by Kai-Tai Fang
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edited by Thomas Holgersson, Martin Singull
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56773-6
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by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-48904-5
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目次情報: 続きを見る
1. Introduction to Binary Regression Models
2. Generalized Estimating Equations Binary Models
3. Lai and Small Models for Time-Dependent Covariates
4. Lalonde, wilson, and Yin Models for Time-Dependent Covariates
5. Irimata, Broatch, and Wilson Models for Time-Dependent Covariates
6. Bayesian GMM to IBW Method of Analysis
7. Models for Joint Responses for Time-Dependent Covariates
8. Other Models for Time-Dependent Covariates
1. Introduction to Binary Regression Models
2. Generalized Estimating Equations Binary Models
3. Lai and Small Models for Time-Dependent Covariates
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by Kristian Kleinke, Jost Reinecke, Daniel Salfrán, Martin Spiess
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: https://doi.org/10.1007/978-3-030-38164-6
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目次情報: 続きを見る
1 Introduction and Basic Concepts
2 Missing Data Mechanism and Ignorability
3 Missing Data Methods
4 Multiple Imputation: Theory
5 Multiple Imputation: Application
6 Multiple Imputation: New Developments
A Appendices
Index
1 Introduction and Basic Concepts
2 Missing Data Mechanism and Ignorability
3 Missing Data Methods
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by Hisayuki Tsukuma, Tatsuya Kubokawa
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: JSS Research Series in Statistics ;
オンライン: https://doi.org/10.1007/978-981-15-1596-5
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Preface
Decision-theoretic approach to estimation
Matrix theory
Matrix-variate distributions
Multivariate linear model and invariance
Identities for evaluating risk
Estimation of mean matrix
Estimation of covariance matrix
Index
Preface
Decision-theoretic approach to estimation
Matrix theory
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by Robin Genuer, Jean-Michel Poggi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-030-56485-8
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Introduction
CART trees
Random forests
Variable importance
Variable selection
References
Introduction
CART trees
Random forests
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edited by Andriëtte Bekker, (Din) Ding-Geng Chen, Johannes T. Ferreira
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-42196-0
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1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands)
5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriëtte Bekker (University of Pretoria, South Africa)
6. Weighted Bivariate Pólya-Aeppli Type Ii Distributions - by Claire Geldenhuys and René Ehlers (University of Pretoria, South Africa)
7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal)
8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriëtte Bekker (University of Pretoria, South Africa)
9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan)
10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA)
11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA)
12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong),Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China)
13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa)
14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA)
15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada)
16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA)
17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc)
18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran)
19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota)
20. Applications Of Spatial Statistics In Poverty Alleviation In China - by Yong Ge (State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research, China)
21. Using Improved Robust Estimators In Semiparametric Models For High Dimensional Data - by Mahdi Roozbeh and Mina Norouzirad (Semnan University, Iran)
22. GMM marginal models with time dependent covariates - by Elsa Vazquez (Arizona State University) and Jeffrey R Wilson (Arizona State University)
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
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edited by Germán Aneiros, Ivana Horová, Marie Hušková, Philippe Vieu
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Contributions to Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-47756-1
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Preface
List of Contributors
1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
2 Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization
3 Some Numerical Test on the Convergence Rates of Regression with Differential Regularization
4 Learning with Signatures
5 About the Complexity Function in Small-ball Probability Factorization
6 Principal Components Analysis of a Cyclostationary Random Function
7 Level Set and Density Estimation on Manifolds
8 Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression
9 Testing a Specification Form in Single Functional Index Model
10 A New Method for Ordering Functional Data and its Application to Diagnostic Test
11 A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions
12 A Conformal Approach for Distribution-free Prediction of Functional Data
13 G-Lasso Network Analysis for Functional Data
14 Modelling Functional Data with High-dimensional Error Structure
15 Goodness-of-fit Tests for Functional Linear Models Based on Integrated Projections
16 From High-dimensional to Functional Data: Stringing Via Manifold Learning
17 Functional Two-sample Tests Based on Empirical Characteristic Functionals
18 Some Remarks on the Nelson–Siegel Model
19 Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
20 On Robust Training of Regression Neural Networks
21 Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach
22 Single Functional Index Model under Responses MAR and Dependent Observations
23 O2S2 for the Geodata Deluge
24 Riemannian Distances between Covariance Operators and Gaussian Processes
25 Depth in Infinite-dimensional Spaces
26 Variable Selection in Semiparametric Bi-functional Models
27 Local Inference for Functional Data Controlling the Functional False Discovery Rate
28 Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation
29 Generalized Functional Partially Linear Single-index Models
30 Functional Outlier Detection through Probabilistic Modelling
31 Topological Object Data Analysis Methods with an Application to Medical Imaging
32 Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
Authors Index
Preface
List of Contributors
1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
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by Meinhard Kieser
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Pharmaceutical Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-49528-2
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Part I: Basics
Chapter 1- Introduction
Chapter 2 - Statistical test and sample size calculation
Part II : Sample size calculation
Chapter 3 - Comparison of two groups for normally distributed outcomes and test for difference or superiority.-Chapter 4 - Comparison of two groups for continuous and ordered categorical outcomes and test for difference or superiority
Chapter 5 - Comparison of two groups for binary outcomes and test for difference and superiority
Chapter 6 - Comparison of two groups for time-to-event outcomes and test for differences or superiority
Chapter 7 - Comparison of more than two groups and test for difference
Chapter 8 - Comparison of two groups and test for non-inferiority
Chapter 9 - Comparison of three groups in the gold standard non-inferiority design
Chapter 10 - Comparison of two groups for normally distributed outcomes and test for equivalence
Chapter 11 - Multiple comparisons
Chapter 12 - Assessment of safety
Chapter 13 - Cluster-randomized trials
Chapter 14 - Multi-regional trials
Chapter 15 - Integrated planning of phase II/III drug development programs
Chapter 16 - Simulation-based sample size calculation
Part III: Sample size recalculation
Chapter 17 – Background
Part IIIA: Blinded sample size recalculation in internal pilot study designs
Chapter 18 - Background and notation
Chapter 19 - A general approach for controlling the type I error rate for blinded sample size recalculation.-Chapter 20 - Comparison of two groups for normally distributed outcomes and test for difference or superiority
Chapter 21 - Comparison of two groups for binary outcomes and test for difference or superiority
Chapter 22 - Comparison of two groups for normally distributed outcomes and test for non-inferiority
Chapter 23 - Comparison of two groups for binary outcomes and test for non-inferiority
Chapter 24 - Comparison of two groups for normally distributed outcomes and test for equivalence.-Chapter 25 - Regulatory and operational aspects
Chapter 26 - Concluding remarks.-Part IIIB: Unblinded sample size recalculation in adaptive designs
Chapter 27 - Background and notation
Chapter 28 - Sample size recalculation based on conditional power
Chapter 29 - Sample size recalculation by optimization
Chapter 30 - Regulatory and operational aspects
Chapter 31 - Concluding remarks
Part I: Basics
Chapter 1- Introduction
Chapter 2 - Statistical test and sample size calculation
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by Carsten Dormann
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-55020-2
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Preface
The technical side: selecting a statistical software
1 Sample statistics
2 Sample statistics in R
3 Distributions, parameters and estimators
4 Distributions, parameters and estimators in R
5 Correlation and association
6 Correlation and association in R
7 Regression - Part I
8 Regression in R - Part I
9 Regression - Part II
10 Regression in R - Part II
11 The linear model: t-test and ANOVA
12 The linear model: t-test and ANOVA in R
13 Hypotheses and tests
14 Experimental Design
15 Multiple Regression
16 Multiple Regression in R
17 Outlook
Index
Preface
The technical side: selecting a statistical software
1 Sample statistics
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by Ruth Etzioni, Micha Mandel, Roman Gulati
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Texts in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-59889-1
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by Jozef Nauta
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Pharmaceutical Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-37693-2
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1.The Interplay Between Microorganisms and the Immune System
2. Analysis of Immunogenicity Data
3. Vaccine Field Studies
4. Correlates of Protection
5. Analysis of Vaccine Safety Data
1.The Interplay Between Microorganisms and the Immune System
2. Analysis of Immunogenicity Data
3. Vaccine Field Studies
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by Leonhard Held, Daniel Sabanés Bové
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: Statistics for Biology and Health ;
オンライン: https://doi.org/10.1007/978-3-662-60792-3
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by Paola Lecca
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-41255-5
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1 Complex systems and sets of data
2 Dynamic models
3 Model identifiability
4 Relationships between phenomena
5 Codes
1 Complex systems and sets of data
2 Dynamic models
3 Model identifiability
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by Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56681-4
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1 Introduction
2 The Modified t test
3 A Parametric Test based on Maximum
4 TjØstheim's Coefficient
5 The Codispersion Coefficient
6 A Nonparametric Coefficient
7 Association for More Than Two Processes
8 Spatial Association Between Images
A Proofs
B Effective Sample Size
C Solutions to Selected Problems
Index
1 Introduction
2 The Modified t test
3 A Parametric Test based on Maximum
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edited by Michele La Rocca, Brunero Liseo, Luigi Salmaso
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 339
オンライン: https://doi.org/10.1007/978-3-030-57306-5
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Preface
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)
Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model (Alessandra Amendola, Vincenzo Candila and Giampiero M. Gallo)
Goodness-of-fit test for the baseline hazard rate (Anfriani, A. and Butucea, C. and Gerardin E. and Jeantheau, T. and Lecleire U.)
Permutation tests for multivariate stratified data: synchronized or unsynchronized permutations? (Rosa Arboretti, Eleonora Carrozzo and Luigi Salmaso)
An extension of the dgLARS method to high-dimensional relative risk regression models (Luigi Augugliaro, Ernst C. Wit and Angelo M. Mineo)
A kernel goodness-of-fit test for maximum likelihood density estimates of normal mixtures. (Dimitrios Bagkavos and Prakash N. Patil)- Robust estimation of sparse signal with unknown sparsity cluster value (Eduard Belitser, Nurzhan Nurushev, and Paulo Serra)
Test for sign effect in intertemporal choice experiments: a nonparametric solution (Stefano Bonnini and Isabel Maria Parra Oller)
Nonparametric first-order analysis of spatial and spatio-temporal point processes (M.I. Borrajo, I. Fuentes-Santos and W. González-Manteiga)
Bayesian nonparametric prediction with multi-sample data (Federico Camerlenghi, Antonio Lijoi and Igor Prünster)
Algorithm for Automatic Description of Historical Series of Forecast Error in Electrical Power Grid (Gaia Ceresa, Andrea Pitto, Diego Cirio and Nicolas Omont)
Linear wavelet estimation in regression with additive and multiplicative noise (Christophe Chesneau, Junke Kou and Fabien Navarro)
Speeding up algebraic-based sampling via permutations (Francesca Romana Crucinio and Roberto Fontana)
Obstacle Problems For Nonlocal Operators: A Brief Overview (Donatella Danielli, Arshak Petrosyan, and Camelia A. Pop)
Low and high resonance components restoration in multichannel data (Daniela De Canditiis and Italia De Feis)
Kernel circular deconvolution density estimation (Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor)
Asymptotic for Relative Frequency when Population is Driven by Arbitrary Unknown Evolution (Silvano Fiorin)
Semantic keywords clustering to optimize Text Ads campaigns (Pietro Fodra, Emmanuel Pasquet, Guillaume Mohr, Bruno Goutorbe, and Matthieu Cornec)
A Note on Robust Estimation of the Extremal Index (M. Ivette Gomes, Cristina Miranda and Manuela Souto de Miranda)
Multivariate permutation tests for ordered categorical data (Huiting Huang, Fortunato Pesarin, Rosa Arboretti, Riccardo Ceccato)
Smooth nonparametric survival analysis (Dimitrios Ioannides and Dimitrios Bagkavos)
Density estimation using multiscale local polynomial transforms (Maarten Jansen)
On Sensitivity of Metalearning: An Illustrative Study for Robust Regression (Jan Kalina)
Function-parametric empirical processes, projections and unitary operators (Estáte Khmaladze)
Rank-based Analysis of Multivariate Data in Factorial Designs and Its Implementation in R (Maximilian Kiefel and Arne C. Bathke)
Tests for Independence Involving Spherical Data (Pierre Lafaye de Micheaux, Simos Meintanis and Thomas Verdebout)
Interval-Wise Testing of Functional Data Defined on Two-dimensional Domains(Patrick B. Langthaler, Alessia Pini and Arne C. Bathke)
Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas (Evgeny Levi and Radu V. Craiu)
Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates (Lukusa, M.T. and Phoa, F.K.H.)
The Discrepancy Method for Extremal Index Estimation (Natalia Markovich)
Correction for optimisation bias in structured sparse high-dimensional variable selection (Bastien Marquis and Maarten Jansen)
United Statistical Algorithms and Data Science: An Introduction To The Principles (Subhadeep Mukhopadhyay)
The Halfspace Depth Characterization Problem (Stanislav Nagy)
A component multiplicative error model for realized volatility measures (Antonio Naimoli and Giuseppe Storti)
Asymptotically distribution-free goodness-of-fit tests for testing independence in contingency tables of large dimensions (Thuong T. M. Nguyen)
Incorporating model uncertainty in the construction of bootstrap prediction intervals for functional time series (Efstathios Paparoditis and Han Lin Shang)
Measuring and Estimating Overlap of Distributions: A comparison of approaches from various disciplines (Judith H. Parkinson and Arne C. Bathke)
Bootstrap confidence intervals for sequences of missing values in multivariate time series (Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna)
On Parametric Estimation of Distribution Tails (Igor Rodionov)
An empirical comparison of global and local functional depths (Carlo Sguera and Rosa E. Lillo)
AutoSpec: Detecting Exiguous Frequency Changes in Time Series (David S. Stoffer)
Bayesian quantile regression in differential equation models (Qianwen Tan and Subhashis Ghosal)
Predicting plant endemicity based on herbarium data: application to French data (Jessica Tressou, Thomas Haevermans and Liliane Bel)
Monte Carlo Permutation Tests for Assessing Spatial Dependence at Different Scales (Craig Wang and Reinhard Furrer)
Introduction to independent counterfactuals (Marcin Wolski)
The Potential for Nonparametric Joint Latent Class Modeling of Longitudinal and Time-to-Event Data (Ningshan Zhang and Jeffrey S. Simonoff)
To Rank or to Permute when Comparing an Ordinal Outcome Between Two Groups While Adjusting for a Covariate? (Georg Zimmermann)
Preface
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)
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edited by Xinguang Chen, (Din) Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: ICSA Book Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-35260-8
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Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings
Construal-Level Theory Supported Methods for Sensitive Topics: Applications in Three Different Populations
Integrative Data Analysis and Application in Global Health
Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research
Geographic Mapping for Global Health Research
A 4D-Indicator System of Count, P Rate, G Rate and PG Rate for Epidemiology and Global Health
Historical Trends in Mortality Risk over a 100-Year Period in China with Recent Data-An Innovative Application of APC Modeling
Moore-Penrose Generalized-Inverse Solution to APC Modeling for Historical Epidemiology and Global Health
Mixed Effects Modeling of Multi-Site Data-Health Behaviors among Adolescents in Hong Kong, Macao, Taipei, Wuhan and Zhuhai
Geographically Weighted Regression for Global Epidemiological Research
Bayesian Spatial-Temporal Disease Modeling With Application to Malaria
"Efficient Biosurveillance By A Statistical Process Control Chart Using Covariates"
Cusp Catastrophe Regression Analysis of Testosterone in Bifurcating the Age-Related Changes in PSA, a Biomarker for Prostate Cancer
Logistic Cusp Catastrophe Regression for Binary Outcome: Method Development and Empirical Testing
Existent Data Sources for Global Health and Epidemiology
Satellite Imagery Data for Global Health and Epidemiology
GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings