close
1.

電子ブック

EB
by Dale L. Zimmerman
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-52074-8
所蔵情報: loading…
目次情報: 続きを見る
1 A Brief Introduction
2 Selected Matrix Algebra Topics and Results
3 Generalized Inverses and Solutions to Sytems of Linear Equations
4 Moments of a Random Vector and of Linear and Quadratic Forms in a Random Vector
5 Types of Linear Models
6 Estimability
7 Least Squares Estimation for the Gauss-Markov Model
8 Least Squares Geometry and the Overall ANOVA
9 Least Squares Estimation and ANOVA for Partitioned Models
10 Constrained Least Squares Estimation and ANOVA
11 Best Linear Unbiased Estimation for the Aitken Model
12 Model Misspecification
13 Best Linear Unbiased Prediction
14 Distribution Theory
15 Inference for Estimable and Predictable Functions
16 Inference for Variance-Covariance Parameters
17 Empirical BLUE and BLUP
1 A Brief Introduction
2 Selected Matrix Algebra Topics and Results
3 Generalized Inverses and Solutions to Sytems of Linear Equations
2.

電子ブック

EB
edited by Marie Wiberg, Dylan Molenaar, Jorge González, Ulf Böckenholt, Jee-Seon Kim
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 322
オンライン: https://doi.org/10.1007/978-3-030-43469-4
所蔵情報: loading…
目次情報: 続きを見る
Chapter 1: Stories Of Successful Careers In Psychometrics And What We Can Learn From Them
Chapter 2: Developing A Concept Map For Rasch Measurement Theory
Chapter 3: Person Parameter Estimation For IRT Models Of Forced-Choice Data: Merits And Perils Of Pseudo-Likelihood Approaches
Chapter 4: An Extended Item Response Tree Model For Wording Effects In Mixed-Format Scales
Chapter 5: The Four-Parameter Normal Ogive Model With Response Time
Chapter 6: A Bayesian Graphical And Probabilistic Proposal For Bias Analysis
Chapter 7: Comparing Hyperprior Distributions To Estimate Variance Components For Interrater Reliability Coefficients
Chapter 8: A Hierarchical Joint Model For Bounded Response Time And Response Accuracy
Chapter 9: Selecting A Presmoothing Model In Kernel Equating
Chapter 10: Practical Implementation Of Test Equating Using R
Chapter 11: Predictive Validity Under Partial Observability
Chapter 12: Multiple-Group Propensity Score Inverse Weights Trimming And Its Impact On Covariate Balance And On Bias In Treatment Effect Estimation
Chapter 13: Procrustes Penalty Function For Matching Matrices To Targets With Its Applications
Chapter 14: Factor Score Estimation From The Perspective Of Item Response Theory
Chapter 15: On The Precision Matrix In The Semi-High Dimensional Settings
Chapter 16: The Performance Of The Modified Continuous A-Stratification Indices In Computerized Adaptive Testing
Chapter 17: Constant CSEM Achieved Through Scale Transformation And Adaptive Testing
Chapter 18: Synergized Bootstrapping: The Whole Is Faster Than The Sum Of Its Parts
Chapter 19: Synchronized Time Profile With Applications To Nearest Neighbor Classification
Chapter 20: Topic Modeling Of Constructed-Response Answers On Social Study Assessments
Chapter 21: Impact Of Measurement Bias On Diagnostic Clinical Measures
Chapter 22: Reliability And Structure Validity Of A Teacher Pedagogical Competencies Scale: A Case Study From Chile
Chapter 23: Psychoperiscope
Chapter 24: Modeling Household Food Insecurity With A Polytomous Rasch Model
Chapter 25: Classical Perspectives Of Controlling Acquiescence With Balanced Scales
Chapter 26: Testing Heterogeneity In Inter-Rater Reliability
Chapter 27: An Application Of Regularized Extended Redundancy Analysis Via Generalized Redundancy Analysis Via Generalized Estimating Equations To The Study Of Co-Occurring Substance Use Among US Adults
Chapter 28: Permutation Test Of Regression Coefficients In Social Network Data Analysis
Index
Chapter 1: Stories Of Successful Careers In Psychometrics And What We Can Learn From Them
Chapter 2: Developing A Concept Map For Rasch Measurement Theory
Chapter 3: Person Parameter Estimation For IRT Models Of Forced-Choice Data: Merits And Perils Of Pseudo-Likelihood Approaches
3.

電子ブック

EB
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
所蔵情報: loading…
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
4.

電子ブック

EB
edited by Bruno Tuffin, Pierre L'Ecuyer
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 324
オンライン: https://doi.org/10.1007/978-3-030-43465-6
所蔵情報: loading…
目次情報: 続きを見る
Part I Invited Talks, H. Dong and M. K. Nakayama, A Tutorial on Quantile Estimation via Monte Carlo
L. Herrmann and C. Schwab, Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction
B. L. Nelson, Selecting the Best Simulated System: Thinking Differently About an Old Problem
F. Pillichshammer, Discrepancy of Digital Sequences: New Results on a Classical QMC Topic
Part II Regular Talks, L. Bian, T. Cui, G. Sofronov and J. Keith, Network Structure Change Point Detection by Posterior Predictive Discrepancy
M. Billaud-Friess, A. Macherey, A. Nouy and C. Prieur, Stochastic Methods for Solving High-Dimensional Partial Differential Equations
N. Binder and A. Keller, Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete or Piecewise Constant Probability Distributions
Y. Ding, F. J. Hickernell, and L. A. J. Rugama, An Adaptive Algorithm Employing Continuous Linear Functionals
A. Ebert, P. Kritzer and D. Nuyens, Constructing QMC Finite Element Methods for Elliptic PDEs with Random Coefficients by a Reduced CBC Construction
R. El Haddad, J. El Maalouf, C. Lecot and P. L’Ecuyer, Sudoku Latin, Square Sampling for Markov Chain Simulation
T. Hartung, K. Jansen, H. Leovey, and J. Volmer, Avoiding the Sign Problem in Lattice Field Theory
R. Hofer, On Hybrid Point Sets Stemming from Halton-Type Hammersley Point Sets and Polynomial Lattice Point Sets
M. Huber, Robust Estimation of the Mean with Bounded Relative Standard Deviation
H. Hult, P. Nyquist and C. Ringqvist, Infinite Swapping Algorithm for Training Restricted Boltzmann Machines
I. Iscoe and A. Kreinin, Sensitivity Ranks by Monte Carlo
R. Kritzinger and F. Pillichshammer, Lower Bounds on the Lp Discrepancy of Digital NUT Sequences
H. Leovey and W. Romisch, Randomized QMC Methods for Mixed-Integer Two-Stage Stochastic Programs with Application to Electricity Optimization
A. F. Lopez-Lopera, F. Bachoc, N. Durrande, J. Rohmer, D. Idier and O. Roustant, Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
E. Løvbak, G. Samaey and S. Vandewalle, A Multilevel Monte Carlo Asymptotic-Preserving Particle Method for Kinetic Equations in the Diffusion Limit
D. Mandel and G. Okten, Randomized Global Sensitivity Analysis and Model Robustness
A. Petersson, Rapid Covariance-Based Sampling of Linear SPDE Approximations in the Multilevel Monte Carlo Method
A. Stein and A. Barth, A Multilevel Monte Carlo Algorithm for Parabolic Advection-Diffusion Problems with Discontinuous Coefficients
T. A. Stepanyuk, Estimates For Logarithmic and Riesz Energies Of Spherical t-Designs
Y. Suzuki and D. Nuyens, Rank-1 Lattices and Higher-Order Exponential Splitting for the Time-Dependent Schr¨odinger Equation
C. von Hallern and A. Roßler, An Analysis of the Milstein Scheme for SPDEs without a Commutative Noise Condition
Fei Xie, M. B. Giles, and Zhijian He, QMC Sampling from Empirical Datasets
Part I Invited Talks, H. Dong and M. K. Nakayama, A Tutorial on Quantile Estimation via Monte Carlo
L. Herrmann and C. Schwab, Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction
B. L. Nelson, Selecting the Best Simulated System: Thinking Differently About an Old Problem
5.

電子ブック

EB
by Alessandra Salvan, Nicola Sartori, Luigi Pace
出版情報: Milano : Springer Milan : Imprint: Springer, 2020
シリーズ名: La Matematica per il 3+2 ; 124
オンライン: https://doi.org/10.1007/978-88-470-4002-1
所蔵情報: loading…
目次情報: 続きを見る
1. Modelli lineari e lineari generalizzati
2. Modelli lineari generalizzati
3. Modelli per dati bancari
4. Modelli per risposte politomiche
5. Modelli per dati di conteggio
6. Quasi-verosimiglianza
Modelli per risposte correlate
A Dati utilizzati nel testo
B Distribuzioni di probabilità
C Eguaglianza tra stime OLS e GLS
D Il metodo delta
E Funzioni generatrici
F Codice R per l’esempio 2.9
G Equivalenza tra residui di Pearson e di devianza
H Modelli per la sovradispersione: schema
1. Modelli lineari e lineari generalizzati
2. Modelli lineari generalizzati
3. Modelli per dati bancari
6.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
Introduction. - Data
Preprocessing
Principal Component Analysis
Self-Organizing Maps. - Clustering
Classification
Multivariate Regression. - Validation
Variable Selection
Chemometric Applications
Introduction. - Data
Preprocessing
Principal Component Analysis
7.

電子ブック

EB
by Hooshang Nayebi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: University of Tehran Science and Humanities Series ;
オンライン: https://doi.org/10.1007/978-3-030-54754-7
所蔵情報: loading…
目次情報:
1. Multiple Regression Analysis
2. Path Analysis
3. Logistic Regression Analysis
1. Multiple Regression Analysis
2. Path Analysis
3. Logistic Regression Analysis
8.

電子ブック

EB
by Douglas Wolfe, Grant Schneider
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-47479-9
所蔵情報: loading…
9.

電子ブック

EB
edited by Matúš Maciak, Michal Pešta, Martin Schindler
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 329
オンライン: https://doi.org/10.1007/978-3-030-48814-7
所蔵情報: loading…
目次情報: 続きを見る
Preface
Y. Güney, J. Jurečková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model
J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function
H. L. Koul and P. Geng, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models
M. Maciak, M. Pešta and S. Vitali, Implied Volatility Surface Estimation via Quantile Regularization
I. Mizera, A remark on the Grenander estimator
U. Radojičić and K. Nordhausen, Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace
P. Vidnerová, J. Kalina and Y. Güney, A Comparison of Robust Model Choice Criteria within a Metalearning Study
S. Zwanzig and R. Ahmad, On Parameter Estimation for High Dimensional Errors-in-Variables Models
Preface
Y. Güney, J. Jurečková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model
J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function
10.

電子ブック

EB
by Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56831-3
所蔵情報: loading…
目次情報: 続きを見る
1 Introduction
2 Prerequisites from Matrix Analysis
3 Multivariate Distributions and Moments
4 Dimensionality Reduction
5 Classification and Clustering
6 Support Vector Machines
7 Machine Learning
Index
1 Introduction
2 Prerequisites from Matrix Analysis
3 Multivariate Distributions and Moments
11.

電子ブック

EB
by Ray W. Cooksey
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-2537-7
所蔵情報: loading…
目次情報: 続きを見る
Introduction
Chapter 1: The logic and language of statistical analysis Reference
Chapter 2: Measurement issues in quantitative research
Chapter 3: Computer programs for analysing quantitative data
Chapter 4: Example research context aand quantitative data set
Chapter 5: Descriptive statistics for summarising data
Chapter 6: Correlational statistics for characterising relationships
Chapter 7: Inferential statistics for hypothesis testing relationships
Chapter 8: Other commonly-used statistical procedures relationships
Chapter 9: Specialised statistical procedures
Appendices
Index
Introduction
Chapter 1: The logic and language of statistical analysis Reference
Chapter 2: Measurement issues in quantitative research
12.

電子ブック

EB
by Yasunori Fujikoshi, Vladimir V. Ulyanov
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/10.1007/978-981-13-2616-5
所蔵情報: loading…
目次情報: 続きを見る
1. Introduction
2. Correlation Coefficient
3. MANOVA Test Statistics
4. Linear and Quadratic Discriminant Functions
5. Bootstrap Confidence Sets
6. Gaussian Comparison
7. Cornish-Fisher Expansions
8 Approximations for Statistics Based on Random Sample Sizes
9. Power-divergence Statistics
10.General Approach to Construct Non-asymptotic Bounds
11 - Other Topics
Index
1. Introduction
2. Correlation Coefficient
3. MANOVA Test Statistics
13.

電子ブック

EB
by Adrian Barbu, Song-Chun Zhu
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-13-2971-5
所蔵情報: loading…
目次情報: 続きを見る
1 Introduction to Monte Carlo Methods
2 Sequential Monte Carlo
3 Markov Chain Monte Carlo - the Basics
4 Metropolis Methods and Variants
5 Gibbs Sampler and its Variants
6 Cluster Sampling Methods
7 Convergence Analysis of MCMC
8 Data Driven Markov Chain Monte Carlo
9 Hamiltonian and Langevin Monte Carlo
10 Learning with Stochastic Gradient
11 Mapping the Energy Landscape
1 Introduction to Monte Carlo Methods
2 Sequential Monte Carlo
3 Markov Chain Monte Carlo - the Basics
14.

電子ブック

EB
edited by Azizur Rahman
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-1735-8
所蔵情報: loading…
目次情報: 続きを見る
Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
3. Determining Risk Factors of Antenatal Care Attendance and its Frequency in Bangladesh: An Application of Count Regression Analysis
4. On Propensity Score Methodology
5. Asking Good Questions to Understand Voluntary Enrolments in Mathematics
PART II. Agricultural Statistics and Policy Analysis
6. Modeling for Prospect of Aman Rice Production in Dhaka Division, Bangladesh
7. Impacts and Determinants of Adoption in River-based Tilapia Cage Culture
8. Policy into Practice; Statistics the Forgotten Gatekeeper
9. Nutrient Loading in the River Systems around Major Cities in Bangladesh: a Quantitative Estimate with Consequences and Potential Recycling Options
10. Analysing Informal Milk Supply Chains Data to Identify Seasonal Occurrences of Antibiotic Residues
Part III. Data Science and Image Processing Statistics
11. Detection of Vegetation in Enviromental Repeat Photography: A New Algorithmic Approach in Data Science
12. Can Data Fusion increase the Performance of Action Detection in the Dark?
13. Data privacy and Security in the Cloud
14. Evaluating Faster-RCNN and YOLOv3 for Target Detection in Multi-sensor Data
15. Wavelet-based Quantile Density Function Estimation under Random Censorship
Part IV. Health Statistics and Social Policy
16. Factors Associated with Coronary Heart Disease among Elderly People in Different Communities
17. Finite Mixture Modelling Approach to Identify Factors Affecting Children ever Born for 15-49 Year Old Women in Asian Country
18. An Assessment of Influencing Factors for Motherhood During Childhood in Bangladesh Using Factor Analysis and Logistic Regression Methods
19. Effect of Women’s Education on Skilled Birth Attendants in South and South East Asia: A Cross-country assessment on Sustainable Development Goal 3.1
Part V. SMALL Area Estimation and Spatial Microsimulation
20. Estimation of Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern District of Bangladesh: An Application of Small Area Estimation Method
21. Using a Spatial Farm Microsimulation Model for Australia to Estimate the Impact of an External Shock on Farmer Incomes
Part VI. Business Analytics and Managements Policy Analysis
22. A tax benefit model for policy evaluation in Luxembourg: LuxTaxBen
23. Finding Significant Determinants and Impacts of Farm-Level Integrated Pest Management Practices Using Statistical Tools
24. Consumers Adoption Behavior Prediction through Technology Acceptance Model and Machine Learning Models
25. Shaping the Future of Multidimensional Project Management in Re-Tail Industry Using Statistical and Big-Data Theories
26. Technical Efficiency and Value Chain Analysis of Potato in a South-East Asian Country
27. Modelling and Analysis of Computer Experiments using a Simple Pendulum Model
Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
15.

電子ブック

EB
by Rafal Kulik, Philippe Soulier
出版情報: New York, NY : Springer New York : Imprint: Springer, 2020
シリーズ名: Springer Series in Operations Research and Financial Engineering ;
オンライン: https://doi.org/10.1007/978-1-0716-0737-4
所蔵情報: loading…
目次情報: 続きを見る
Regular variation
Regularly varying random variables
Regularly varying random vectors
Dealing with extremal independence
Regular variation of series and random sums
Regularly varying time series
Limit theorems
Convergence of clusters-. Point process convergence
Convergence to stable and extremal processes
The tall empirical and quantile processes
Estimation of cluster functionals
Estimation for extremally independent time series
Bootstrap
Time series models
Max-stable processes
Markov chains
Moving averages
Long memory processes
Appendices
Regular variation
Regularly varying random variables
Regularly varying random vectors
16.

電子ブック

EB
edited by Hemen Dutta
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Forum for Interdisciplinary Mathematics ;
オンライン: https://doi.org/10.1007/978-981-15-2286-4
所蔵情報: loading…
目次情報: 続きを見る
Khalid Hattaf: Viral Immunology: Modeling and Analysis
Divine Wanduku, C. Newman O. Jegede, and Broderick Oluyede: Modeling the Stochastic Dynamics of Influenza Epidemics with Vaccination Control, and the Maximum Likelihood Estimation of Model Parameters
W.P.T.M. Wickramaarachchi and S.S. Nishantha Perera: A Two-Dimensional Dynamical System for Local Transmission of Dengue with Time Invariant Mosquito Density
A.O. Egonmwan and Daniel Okuonghae: Mathematical Analysis of a Tuberculosis Model with Imperfect Vaccine
A. Omame, Daniel Okuonghae, and Simeon Chioma Inyama: A Mathematical Study of a Model for HPV with Two High Risk Strains
Ozlem Ozturk Mizrak, Cihan Mizrak, Ardak Kashkynbayev and Yang Kuang: Can Fractional Differentiation Improve Data Fitting Ability of a Prostate Cancer Model under Intermittent Androgen Suppression Therapy?
Cinzia Colapinto, Davide La Torre, Danilo Liuzzi, and Aymeric Vié: Towards the Realization of the Europe 2020 Agenda for Economic Growth in the European Union: An Analysis based on Goal Programming
Flaviano Battelli, Michal Feckan: On the Poincaré–Andronov–Melnikov Method for Modelling of Grazing Periodic Solutions in Discontinuous Systems
Kolade M. Owolabi and Hemen Dutta: Modeling and Analysis of Predation System with Nonlocal and Nonsingular Operator
Devendra Kumar and Jagdev Singh: New Aspects of Fractional Epidemiological Model for Computer Viruses with Mittag–Leffler Law
Kolade M. Owolabi: Numerical Simulation of Nonlinear Ecological Models with Nonlocal and Nonsingular Fractional Derivative
Khalid Hattaf: Viral Immunology: Modeling and Analysis
Divine Wanduku, C. Newman O. Jegede, and Broderick Oluyede: Modeling the Stochastic Dynamics of Influenza Epidemics with Vaccination Control, and the Maximum Likelihood Estimation of Model Parameters
W.P.T.M. Wickramaarachchi and S.S. Nishantha Perera: A Two-Dimensional Dynamical System for Local Transmission of Dengue with Time Invariant Mosquito Density
17.

電子ブック

EB
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
所蔵情報: loading…
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
18.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
19.

電子ブック

EB
edited by Krzysztof Jajuga, Jacek Batóg, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-52348-0
所蔵情報: loading…
目次情報: 続きを見る
Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
Silhouette index as clustering evaluation tool
The Role of Discretization of Continuous Variables in SocioEconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks
Intuitionistic fuzzy synthetic measure for ordinal data
Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction
Applications in Finance
Inequality restricted least squares (IRLS) model of real estate prices
Application of Hill estimator to assess extreme risks in the metals market
Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees. Results of an Analysis for Legal Persons and Organizational Entities without Legal Personality in the Łódzkie Voivodship
Corporate Bankruptcy Prediction with the Use of the Logit Leaf Model
The impact of longevity on a valuation of long-term investments returns: the case of selected European countries
Applications in Economics.-Sustainable Development and Green Economy in the European Union Countries – statistical analysis
The review of indicators of data quality in intra-Community trade in goods. The choice of an indicator and its effect on the ranking of countries
Development of ICT in Poland in Comparison with the European Union Countries – Multivariate Statistical Analysis
Sensitivity Analysis in Causal Mediation Effects for TAM Model
Applications in Social Problems
Prentice-Williams-Peterson models in the assessment of the influence of the characteristics of the unemployed on the intensity of subsequent registrations in the labour office
Right-skewed distribution of features and the identification problem of the financial autonomy of local administrative units
Multi-Criteria Rankings with Interdependent Criteria: Case of EU Countries on Their Way to Healthy Lives and Well-Being
The comparison of income distributions for women and men in the European Union countries
Common stochastic mortality trends for multiple European populations
Impact of the selected factors on the men and women wages in Poland in 2014. The conjoint analysis application
Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
20.

電子ブック

EB
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
所蔵情報: loading…
21.

電子ブック

EB
edited by Nobuaki Hoshino, Shuhei Mano, Takaaki Shimura
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/10.1007/978-981-15-9663-6
所蔵情報: loading…
目次情報: 続きを見る
Gibbs Base Random Partitions
Asymptotic and approximate discrete distributions for length of Ewens sampling formula
An Error Bound for the Normal Approximation to the Length of a Ewens Partition
Distribution of Number of Levels in [s]-specified Random Permutation
Properties of General Systems of Orthogonal Polynomials with Symmetric Matrix Argument
Conjugate Analysis under Jeffreys' Prior with its Implications to Likelihood Inference
Gibbs Base Random Partitions
Asymptotic and approximate discrete distributions for length of Ewens sampling formula
An Error Bound for the Normal Approximation to the Length of a Ewens Partition
22.

電子ブック

EB
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
所蔵情報: loading…
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
23.

電子ブック

EB
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
所蔵情報: loading…
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
24.

電子ブック

EB
by Pierre Brémaud
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Universitext ;
オンライン: https://doi.org/10.1007/978-3-030-40183-2
所蔵情報: loading…
目次情報: 続きを見る
Introduction.-Warming Up
Integration Theory for Probability
Probability and Expectation
Convergence of random sequences
Markov Chains
Martingale Sequences
Ergodic Sequences
Generalities on Stochastic Processes
Poisson Processes
Continuous-Time Markov Chains
Renewal Theory in Continuous Time
Brownian Motion
Wide-sense Stationary Stochastic Processes
An Introduction to Itô’s Calculus
Appenndix: Number Theory and Linear Algebra
Analysis
Hilbert Spaces
Z-Transforms
Proof of Paul Lévy’s Criterion
Direct Riemann Integrability
Bibliography
Index
Introduction.-Warming Up
Integration Theory for Probability
Probability and Expectation
25.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
26.

電子ブック

EB
by Nina Golyandina, Anatoly Zhigljavsky
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-662-62436-4
所蔵情報: loading…
目次情報: 続きを見る
1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
1.3 Computer implementation of SSA
1.4 Historical and bibliographical remarks
1.5 Common symbols and acronyms
2 Basic SSA - 2.1 The main algorithm
2.2 Potential of Basic SSA
2.3 Models of time series and SSA objectives
2.4 Choice of parameters in Basic SSA
2.5 Some variations of Basic SSA
2.6 Multidimensional and multivariate extensions of SSA
3 SSA for forecasting, interpolation, filtering and estimation
3.1 SSA forecasting algorithms
3.2 LRR and associated characteristic polynomials
3.3 Recurrent forecasting as approximate continuation
3.4 Confidence bounds for the forecasts
3.5 Summary and recommendations on forecasting parameters
3.6 Case study: ‘Fortified wine’
3.7 Imputation of missing values
3.8 Subspace-based methods and estimation of signal parameters
3.9 SSA and filters
3.10 Multidimensional/Multivariate SSA
1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
27.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
Introduction
CART trees
Random forests
Variable importance
Variable selection
References
Introduction
CART trees
Random forests
28.

電子ブック

EB
by John P. Nolan
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Operations Research and Financial Engineering ;
オンライン: https://doi.org/10.1007/978-3-030-52915-4
所蔵情報: loading…
目次情報: 続きを見る
Basic Properties of Univariate Stable Distributions
Modeling with Stable Distributions
Technical Results for Univariate Stable Distributions
Univariate Estimation
Stable Regression
Signal Processing with Stable Distributions
Related Distributions
Appendix A: Mathematical Facts
Appendix B: Stable Quantiles
Appendix C: Stable Modes
Appendix D: Asymptotic Standard Deviations of ML Estimators
Basic Properties of Univariate Stable Distributions
Modeling with Stable Distributions
Technical Results for Univariate Stable Distributions
29.

電子ブック

EB
by Kei Takeuchi
出版情報: Tokyo : Springer Japan : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-4-431-55239-0
所蔵情報: loading…
目次情報: 続きを見る
Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
2 Unbiased Estimation in Case of the Class of Distributions of Finite Rank
3 Some Theorems on Invariant Estimators of Location
Part III Robust Estimation
4 Robust Estimation and Robust Parameter
5 Robust Estimation of Location in the Case of Measurement of Physical Quantity
6 A Uniformly Asymptotically Efficient Estimator of a Location Parameter
Part IV Randomization
7 Theory of Randomized Designs
8 Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population
Part V Tests of Normality
9 The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution
10 Tests of Univariate Normality
11 The Tests for Multivariate Normality
Part VI Model Selection
12 On the Problem of Model Selection Based on the Data.-Part VII Asymptotic Approximation
13 On Sum of 0-1 Random Variables (I. Univariate Case)
14 On Sum of 0-1 Random Variables (II. Multivariate Case)
15 Algebraic Properties and Validity of Univariate and Multivariate Cornish-Fisher Expansion
Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
30.

電子ブック

EB
by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni
出版情報: Milano : Springer Milan : Imprint: Springer, 2020
シリーズ名: La Matematica per il 3+2 ; 120
オンライン: https://doi.org/10.1007/978-88-470-3995-7
所蔵情報: loading…
目次情報: 続きを見る
Parte I Statistica inferenziale
1 Fondamenti di probabilità e statistica
2 Statistiche sufficienti, minimali e complete
3 Stimatori puntuali
4 UMVUE
5 Likelihood Ratio Test
6 Test uniformemente più potente
7 Intervalli di Confidenza
8 Statistica Asintotica
Parte II Modelli di regressione e analisi della varianza
9 Regressione lineare
10 Modelli lineari generalizzati
11 ANOVA: analisi della varianza
12 Esercizi di riepilogo
Appendice A: Distribuzioni di probabilità
Parte I Statistica inferenziale
1 Fondamenti di probabilità e statistica
2 Statistiche sufficienti, minimali e complete
31.

電子ブック

EB
by Mark Stemmler
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/10.1007/978-3-030-49421-6
所蔵情報: loading…
目次情報: 続きを見る
1. Introducing Person-Centered Methods
2. CFA Software
3. Significance Testing in CFA
4. CFA and Log-Linear Modeling
5. Longitudinal CFA
6. Other Person-Centered Methods Serving as Complimentary Tools for CFA
7. CFA and its Derivatives
Glossary
Index
1. Introducing Person-Centered Methods
2. CFA Software
3. Significance Testing in CFA
32.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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)
33.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
34.

電子ブック

EB
by Dale L. Zimmerman
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-52063-2
所蔵情報: loading…
目次情報: 続きを見る
Preface
1 A Brief Introduction
2 Selected Matrix Algebra Topics and Results
3 Generalized Inverses and Solutions to Systems of Linear Equations
4 Moments of a Random Vector and of Linear and Quadratic Forms in a Random Vector
5 Types of Linear Models
6 Estimability
7 Least Squares Estimation for the Gauss-Markov Model
8 Least Squares Geometry and the Overall ANOVA
9 Least Squares Estimation and ANOVA for Partitioned Models
10 Constrained Least Squares Estimation and ANOVA
11 Best Linear Unbiased Estimation for the Aitken Model
12 Model Misspecification
13 Best Linear Unbiased Prediction
14 Distribution Theory
15 Inference for Estimable and Predictable Functions
16 Inference for Variance-Covariance Parameters
17 Empirical BLUE and BLUP
Index
Preface
1 A Brief Introduction
2 Selected Matrix Algebra Topics and Results
35.

電子ブック

EB
by Changbao Wu, Mary E. Thompson
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/10.1007/978-3-030-44246-0
所蔵情報: loading…
目次情報: 続きを見る
Part I Basic Concepts and Methods in Survey Sampling
Chapter 1 Basic Concepts in Survey Sampling
Chapter 2 Simple Single-Stage Sampling Methods
Chapter 3 Stratified Sampling and Cluster Sampling
Chapter 4 General Theory and Methods of Unequal Probability Sampling
Chapter 5 Model-Based Prediction and Model-Assisted Estimation
Part II Advanced Topics on Analysis of Probability Survey Samples
Chapter 6 Calibration Weighting and Estimation
Chapter 7 Regression Analysis and Estimating Equations
Chapter 8 Empirical Likelihood Methods
Chapter 9 Methods for Handling Missing Data
Chapter 10 Resampling and Replication Methods
Chapter 11 Bayesian Empirical Likelihood Methods
Part III Practical Issues and Special Topics in Survey Sampling
Chapter 12 Area Frame Household Surveys
Chapter 13 Telephone and Web Surveys
Chapter 14 Natural Resource Inventory Surveys
Chapter 15 Adaptive and Network Surveys
Chapter 16 Dual Frame and Multiple Frame Surveys
Chapter 17 Non-Probability Survey Samples
References
Appendix
Index
Part I Basic Concepts and Methods in Survey Sampling
Chapter 1 Basic Concepts in Survey Sampling
Chapter 2 Simple Single-Stage Sampling Methods
36.

電子ブック

EB
by N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-8659-0
所蔵情報: loading…
目次情報: 続きを見る
Linear Estimation
Linear Hypotheses and Their Tests
Block Designs
Row-Column Designs
Factorial Experiments
Analysis of Covariance
Missing Plot Technique
Split Plot Design
Linear Estimation
Linear Hypotheses and Their Tests
Block Designs
37.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
38.

電子ブック

EB
by Stephen Crowder, Collin Delker, Eric Forrest, Nevin Martin
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-53329-8
所蔵情報: loading…
目次情報: 続きを見る
1. Introduction
2. Basic Concepts
3. The International System of Units (SI), Traceability, and Calibration
4. Introduction to Statistics and Probability
5. Measurement Uncertainty in Decision Making
6. The Measurement Model and Uncertainty
7. Analytical Methods for the Propagation of Uncertainties
8. Monte Carlo Methods for the Propagation of Uncertainties
9. Determining Uncertainties in Fitted Curves
10. Design of Experiments in Metrology
11. Special Topics in Metrology
12. Summary and Acknowledgments
1. Introduction
2. Basic Concepts
3. The International System of Units (SI), Traceability, and Calibration
39.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
40.

電子ブック

EB
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
所蔵情報: loading…
41.

電子ブック

EB
by Ronald Christensen
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/10.1007/978-3-030-32097-3
所蔵情報: loading…
目次情報: 続きを見る
1. Introduction
2. Estimation
3. Testing
4. One-Way ANOVA
5. Multiple Comparison Techniques
6. Regression Analysis
7. Multifactor Analysis of Variance
8. Experimental Design Models
9. Analysis of Covariance
10. General Gauss-Markov Models
11. Split Plot Models
12. Model Diagnostics
13. Collinearity and Alternative Estimates
14. Variable Selection
Appendix A - 6
References
Index
Author Index
1. Introduction
2. Estimation
3. Testing
42.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
43.

電子ブック

EB
by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 1
オンライン: https://doi.org/10.1007/978-981-13-0553-5
所蔵情報: loading…
目次情報: 続きを見る
Section: Introduction
1.1 Introduction to clustering
1.2 R software
2. Section: Standard algorithms
2.1 Introduction
2.2 Distances and dissimilarities
2.3 Hierarchical methods
2.4 Non-hierarchical methods
2.5 Cluster validity
3. Section: Fuzzy algorithms
3.1 Introduction
3.2 Fuzzy K-means
3.3 Fuzzy K-medoids
3.4 Other fuzzy variants
3.5 Cluster validity
4. Section: Model-based algorithms
4.1 Introduction
4.2 Mixture of Gaussian distributions
4.3 Mixture of non-Gaussian distributions
4.4 Parsimonious mixture models
Section: Introduction
1.1 Introduction to clustering
1.2 R software
44.

電子ブック

EB
edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 5
オンライン: https://doi.org/10.1007/978-981-15-2700-5
所蔵情報: loading…
目次情報: 続きを見る
Co-clustering for object by variable data matrices
How to use the Hermitian Form Model for asymmetric MDS
Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios
Comparing partitions of the Petersen graph
Minkowski distances and standardisation for clustering and classification on high dimensional data
Co-clustering for object by variable data matrices
How to use the Hermitian Form Model for asymmetric MDS
Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios
45.

電子ブック

EB
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
所蔵情報: loading…
46.

電子ブック

EB
by Nicolas Chopin, Omiros Papaspiliopoulos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-47845-2
所蔵情報: loading…
目次情報: 続きを見る
1 Preface
2 Introduction to state-space models
3 Beyond state-space models
4 Introduction to Markov processes
5 Feynman-Kac models: definition, properties and recursions
6 Finite state-spaces and hidden Markov models
7 Linear-Gaussian state-space models
8 Importance sampling
9 Importance resampling
10 Particle filtering
11 Convergence and stability of particle filters
12 Particle smoothing
13 Sequential quasi-Monte Carlo
14 Maximum likelihood estimation of state-space models
15 Markov chain Monte Carlo
16 Bayesian estimation of state-space models and particle MCMC
17 SMC samplers
18 SMC2, sequential inference in state-space models
19 Advanced topics and open problems
1 Preface
2 Introduction to state-space models
3 Beyond state-space models
47.

電子ブック

EB
by Nobuoki Eshima
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 3
オンライン: https://doi.org/10.1007/978-981-15-2552-0
所蔵情報: loading…
目次情報: 続きを見る
Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
Analysis of continuous variables
Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
48.

電子ブック

EB
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
所蔵情報: loading…
目次情報: 続きを見る
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
49.

電子ブック

EB
by Paul R. Rosenbaum
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-46405-9
所蔵情報: loading…
目次情報: 続きを見る
Part I Beginnings
1 Dilemmas and Craftsmanship
2 Causal Inference in Randomized Experiments
3 Two Simple Models for Observational Studies
4 Competing Theories Structure Design
5 Opportunities, Devices, and Instruments
6 Transparency
7 Some Counterclaims Undermine Themselves
Part II Matching
8 A Matched Observational Study
9 Basic Tools of Multivariate Matching
10 Various Practical Issues in Matching
11 Fine Balance
12 Matching Without Groups
13 Risk-Set Matching
14 Matching in R
Part III Design Sensitivity
15 The Power of a Sensitivity Analysis and Its Limit
16 Heterogeneity and Causality
17 Uncommon but Dramatic Responses to Treatment
18 Anticipated and Discovered Patterns of Response
19 Choice of Test Statistic
Part IV Enhanced Design
20 Evidence Factors
21 Constructing Several Comparison Groups
Part V Planning Analysis
22 After Matching, Before Analysis
23 Planning the Analysis
Summary: Key Elements of Design
Solutions to Common Problems
Symbols
Acronyms
Glossary of Statistical Terms
Further Reading
Suggested Readings for a Course
Index
Part I Beginnings
1 Dilemmas and Craftsmanship
2 Causal Inference in Randomized Experiments
50.

電子ブック

EB
by Heleno Bolfarine, Mário de Castro, Manuel Galea
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics - ABE ;
オンライン: https://doi.org/10.1007/978-3-030-57935-7
所蔵情報: loading…
目次情報: 続きを見る
- Introduction
Two Methods
Two or More Methods
Model Checking and Influence Assessment
Data Analysis
Miscellaneous Results
R Scripts
Index
- Introduction
Two Methods
Two or More Methods