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by Frédéric Ferraty, Philippe Vieu
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-36620-2
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edited by Stephen E. Fienberg, David C. Hoaglin
出版情報: New York, NY : Springer Science + Business Media, LLC, 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-44956-2
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by Krishna B. Athreya, Soumendra N. Lahiri
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/10.1007/978-0-387-35434-7
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by Sylvia Frühwirth-Schnatter
出版情報: New York, NY : Springer Science + Business Media, LLC, 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-35768-3
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by Eric Zivot, Jiahui Wang
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-32348-1
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edited by Hrishikesh D. Vinod
出版情報: New York, NY : Springer-Verlag New York, 2010
シリーズ名: Lecture Notes in Statistics ; 196
オンライン: http://dx.doi.org/10.1007/978-1-4419-1764-5
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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 Miodrag Lovric
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-04898-2
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by Brajendra C. Sutradhar
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/10.1007/978-1-4419-8342-8
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by Armando Luis Vieira
出版情報: Berlin, Heidelberg : Armando Luis Vieira, 2011
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-18044-6
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edited by Salvatore Ingrassia, Roberto Rocci, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-11363-5
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12.

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by Odd O. Aalen, Ørnulf Borgan, Håkon K. Gjessing ; edited by M. Gail, K. Krickeberg, J. Samet, A. Tsiatis, W. Wong
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
シリーズ名: Statistics for Biology and Health ;
オンライン: http://dx.doi.org/10.1007/978-0-387-68560-1
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edited by Cynthia Fraser
出版情報: New York, NY : Springer New York, 2009
オンライン: http://dx.doi.org/10.1007/978-0-387-74403-2
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by Andrew V. Metcalfe, Paul S.P. Cowpertwait
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Use R ;
オンライン: http://dx.doi.org/10.1007/978-0-387-88698-5
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by Peter D. Hoff
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-92407-6
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by Simon Sheather
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-09608-7
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edited by Thomas Mikosch, Jens-Peter Kreiß, Richard A. Davis, Torben Gustav Andersen
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2009
オンライン: http://dx.doi.org/10.1007/978-3-540-71297-8
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by Vincent N. LaRiccia, Paul P. Eggermont
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/b12285
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edited by Ross Maller, Ishwar Basawa, Peter Hall, Eugene Seneta
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Selected Works in Probability and Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-5823-5
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20.

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by Hubert Gatignon
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-1270-1
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21.

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by Jean Jacod, Philip Protter
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2012
シリーズ名: Stochastic Modelling and Applied Probability ; 67
オンライン: http://dx.doi.org/10.1007/978-3-642-24127-7
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22.

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by Shlomo Yitzhaki, Edna Schechtman
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Series in Statistics ; 272
オンライン: http://dx.doi.org/10.1007/978-1-4614-4720-7
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目次情報: 続きを見る
Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
Decompositions of the GMD
The Lorenz curve and the concentration curve
The extended Gini family of measures
Gini Simple Regressions
Multiple Regressions
Inference on Gini-based parameters -estimation
Inference on Gini-based parameters -testing
Inference on Lorenz and on Concentration curves
Introduction to applications
Social welfare, relative deprivation and the Gini coefficient
Policy Analysis.-  Policy Analysis Using the Decomposition of the Gini by non-marginal analysis.- Incorporating poverty in Policy Analysis - the Marginal Analysis case
Introduction to applications of the GMD and the Lorenz curve in finance
The mean-Gini portfolio and the pricing of capital assets
Applications of Gini methodology in regression analysis
Gini's multiple regressions: two approaches and their interaction
Mixed OLS, Gini and extended Gini regressions.-  An application in statistics - ANOGI
Suggestions for further research
Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
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by Ron C. Mittelhammer
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-5022-1
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Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
Parametric Families of Density Functions
Basic Asymptotics
Sampling, Sample Moments, Sampling Distributions, and Simulation
Point Estimation Theory
Point Estimation Methods
Hypothesis Testing Theory
Hypothesis Testing Methods and Confidence Regions
Appendix
Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
24.

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by Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-32914-2
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Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
Acknowledgements
Managing panel data: The nature of panel data
The basics of panel data management
Three case studies on poverty in Germany
How to represent a population with panel data?- Conclusion and further reading
Describing and modeling panel data: Some basic terminology
Measurements over time are not independent
Describing the dependent variable
 Explaining the dependent variable over time: typical explanatory variables
Modeling panel data.-  Estimating models for panel data
Overview of subsequent chapters
Panel analysis of continuous variables: Modeling the level of Y
Modeling the change of Y.-  Conclusion and further reading
 Panel analysis of categorical variables: Modeling the level of Y: Discrete response models for panel data
Modeling the change of Y: Discrete-time event history models for panel data
Conclusion and further reading
Conclusion: How to do your own panel analysis
 A: Functions of random variables
B: Estimation and testing:  Ordinary least squares
How to compute a regression model fitting the data?- Sampling and sampling errors
How to choose between different estimation methods?- How to estimate the parameters of an unknown population with a sample of data?- How to test parameters of an unknown population with a sample of data?- Maximum likelihood
C: Web site of the textbook
Bibliography
Index
Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
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by Simo Puntanen, George P. H. Styan, Jarkko Isotalo
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-32931-9
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The Model Matrix
Fitted Values and Residuals
Regression Coefficients
Alternative Estimators
Decompositions of Sums of Squares
Partial Correlations
Distributions
Testing Hypotheses
Diagnostics
BLUE: Some Helpful Identities
Estimability
Best Linear Unbiased Estimator
The Watson Efficiency
Linear Sufficiency and Admissibility
Best Linear Unbiased Predictor
Mixed Model
Multivariate Linear Model
Inverse of a Partitioned Matrix
Generalized Inverses
Projectors
Eigenvalues
Discriminant Analysis
Factor Analysis
Canonical Correlations
Matrix Decompositions
Principal Component Analysis
Löwner Ordering
Rank Rules
Inequalities
Kronecker Product
Matrix Derivatives
The Model Matrix
Fitted Values and Residuals
Regression Coefficients
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by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian Marx
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-34333-9
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Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Quantile Regression
A Matrix Algebra
B Probability Calculus and Statistical Inference
Bibliography
Index
Introduction
Regression Models
The Classical Linear Model
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by Mohammad Ahsanullah, Valery B Nevzorov, Mohammad Shakil
出版情報: Paris : Atlantis Press : Imprint: Atlantis Press, 2013
シリーズ名: Atlantis Studies in Probability and Statistics ; 3
オンライン: http://dx.doi.org/10.2991/978-94-91216-83-1
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Basic definitions
Distributions of order statistics
Sample quantiles and ranges
Representations for order statistics
Conditional distributions of order statistics.-Order statistics for discrete distributions
Moments of order statistics: general relations
Moments of uniform and exponential order statistics
Moment relations for order statistics: normal distribution
Asymptotic behavior of the middle and intermediate order statistics
Asymptotic behavior of the extreme order statistics
Some properties of estimators based on order statistics
Minimum variance linear unbiased estimators
Minimum variance linear unbiased estimators and predictors based on censored samples
Estimation of parameters based on fixed number of sample quantiles
Order statistics from extended samples
Order statistics and record values
Characterizations of distributions based on properties of order statistics
Order statistics and record values based on Fα distributions
Generalized order statistics
Compliments and problems
Basic definitions
Distributions of order statistics
Sample quantiles and ranges
28.

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edited by Fabio Crescenzi, Stefania Mignani
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-05552-7
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Part I - Methodological Issues in an Historical Perspective: Bayesian and non-bayesian approaches to statistical inference: a personal view, by Bruno Chiandotto
Contributions of Italian statisticians to the development of multivariate data analysis, by Renato Coppi and Paolo Giordani
The Semantic role of variability in the development of statistical thought, by Paola Monari
The Permutation Testing Approach in the Light of Conditionality and Sufficiency Principles, by Fortunato Pesarin
Bayesian Statistical Inference: an Overview, by Ludovico Piccinato
Part II - Historical Issues in Economic and Socio-Demographic Studies: The long journey of Italian statistics on international migration, by Corrado Bonifazi
The Evolution of Statistic Information on Agricultural Labour Force through Italian Agricultural Censuses from 1961 to 2010, by Loredana De Gaetano
Changes in the Geographical Distribution of Inhabitants in Tuscany since 1861, by Luca Faustini, Linda Porciani, Graziella Sanna, Cristiano Tessitore, and Alessandro Valentini
The “Administrative” Territory From the Unity of Italy to the Present - An Overview through the History of Municipalities and Provinces, by Orietta Gargano and Tiziana Clary
Fifty Years of Business Confidence Surveys on Manufacturing Sector, by Bianca M. Martelli, Giancarlo Bruno, Paola M. Chiodini, Giancarlo Manzi, and Flavio Verrecchia
Part III - New  Developments in Survey Methodology for Official Statistics: Social aspects on censuses and official surveys in Italy, by Enrica Aureli and Mariangela Verrascina
Response Burden Reduction through the Use of Administrative Data and Robust Sampling, by Maria Caterina Bramati
An Application of Text Mining Technique for the Census of Nonprofit Institutions, by D. F. Iezzi, M. Lori, F. Lorenzini, M. Nicosia, S. Stoppiello
Linking Administrative Tax Records and Survey Expenditure Data at the Local Level, by Lisa Crosato, Mauro Mussini, Paolo Mariani and Biancamaria Zavanella
An Application of Statistical Matching Techniques to Produce a New Microeconomic Dataset on Farming households’ Institutional Sector in Italy, by Edoardo Pizzoli, Benedetto Rocchi, and Giuseppe Sacco
Outlier Detection via Compositional Forward Search: Application to the Preliminary Data of the 2010 Italian Agricultural Census, by Simona Toti, Filippo Palombi, and Romina Filippini
Innovative Approaches to Census-taking: Overview of the 2011 Census Round in Europe, by Paolo Valente
Part IV - New Methodological Developments in Economic Studies: Measuring Multidimensional Inequality: Methods and Issues in Empirical Analysis, by David Aristei and Bruno Bracalente
Turning the Compulsory Communication Data into a Statistical System, by C. Baldi, G. De Blasio, G. Di Bella, A. Lucarelli, and R. Rizzi
Credit Stress Testing From a Portfolio Perspective, by Tiziano Bellini
Remote Processing of Business Microdata at the Bank of Italy, by Giuseppe Bruno, Leandro D’Aurizio, and Raffaele Tartaglia-Polcini
A Distributional Approach for Measuring wage Discrimination and Occupational Discrimination Separately, by R. Giaimo, and G. L. Lo Magno
Statistics and Economics: A Complex Relationship, by Alessandro Roncaglia
Part V - New Methodological Developments in Educational Studies: Design, Implementation and Validation of a Questionnaire for University Teaching Evaluation, by Luigi D’Ambra and Maurizio Carpita
A Family of Indices for Teaching Evaluation - Experiences in Italian Universities, by Donata Marasini and Piero Quatto
The Unity of Italy From the Point of View of Student Performances: Evidences from PISA 2009, by Mariagiulia Matteucci and Marilena Pillati
Some Experimental Results on the Role of Speed and Accuracy of Reading in Psychometric Tests, by Isabella Morlini, Giacomo Stella, and Maristella Scorza
A Propensity Score Matching Method to Study the Achievement of Students in Upper Secondary Schools, by Giulia Roli and Luisa Stracqualursi
Part VI - New Methodological Developments in Social and Demographic Studies: Developing a Composite Indicator of Residents’ well-being: the Case of the Romagna Area, by Cristina Bernini, Andrea Guizzardi, and Giovanni Angelini
New Technologies and Statistics Partners for Environmental Monitoring and City Sensing, by Rina Camporese, Giovanni Borga, Niccolò Iandelli, and Antonella Ragnoli
Recent Developments in Multidimensional Analysis for Customer Satisfaction, by Luigi D’Ambra and Enrico Ciavolino
Tourism Statistics for Destination Management: The Trips/Arrivals model, by Stefano De Cantis, Mauro Ferrante
Non-Compensatory Aggregation of Social Indicators: An Icon Representation, by Matteo Mazziotta and Adriano Pareto
Indicators for Assessment in Health Services, by Cesare Cislaghi and Marco Marchi
Measuring the multidimensional demographic convergence by indices of multiple variability, by Maria Rita Sebastiani
Part I - Methodological Issues in an Historical Perspective: Bayesian and non-bayesian approaches to statistical inference: a personal view, by Bruno Chiandotto
Contributions of Italian statisticians to the development of multivariate data analysis, by Renato Coppi and Paolo Giordani
The Semantic role of variability in the development of statistical thought, by Paola Monari
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by Gauss M. Cordeiro, Francisco Cribari-Neto
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-55255-7
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Preface
Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview
Bartlett Corrections and Bootstrap Testing Inference
Bartlett-Type Corrections
Analytical and Bootstrap Bias Corrections
Supplementary Material
Glossary
Preface
Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview
Bartlett Corrections and Bootstrap Testing Inference
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by Marat Ibragimov, Rustam Ibragimov, Johan Walden
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Statistics ; 214
オンライン: http://dx.doi.org/10.1007/978-3-319-16877-7
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Introduction
Implications of Heavy-tailed ness
Inference and Empirical Examples
Conclusion
Introduction
Implications of Heavy-tailed ness
Inference and Empirical Examples
31.

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edited by Umberto Cherubini, Fabrizio Durante, Sabrina Mulinacci
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 141
オンライン: http://dx.doi.org/10.1007/978-3-319-19039-6
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A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
General Marshall-Olkin Models, Dependence Orders and Comparisons of Environmental Processes by Esther Frostig and Franco Pellerey
Marshall-Olkin Machinery and Power Mixing: the Mixed Generalized Marshall-Olkin Distribution by Sabrina Mulinacci
Extended Marshall-Olkin Model and Its Dual Version by Jayme Pinto and Nikolai Kolev
A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
32.

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by Andreas Behr
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-319-20502-1
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Introduction
Linear Production Model
Production Functions
Production Functions with Panel Data
Introduction to Linear Programming
Data Envelopment Analysis
Stochastic Data Envelopment Analysis
Stochastic Frontier Analysis
Panel Data Stochastic Frontier Analysis
Introduction
Linear Production Model
Production Functions
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by Yannick Malevergne, Didier Sornette
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2006
オンライン: http://dx.doi.org/10.1007/b138841
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edited by Stefan Sperlich, Wolfgang Härdle, Gökhan Aydinli
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2006
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/3-7908-1701-5
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by Eric Jondeau, Ser-Huang Poon, Michael Rockinger
出版情報: London : Springer-Verlag London Limited, 2007
シリーズ名: Springer Finance ;
オンライン: http://dx.doi.org/10.1007/978-1-84628-696-4
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36.

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edited by Richard J. Cook, Jerald F. Lawless
出版情報: New York : Springer Science + Business Media, LLC, 2007
シリーズ名: Statistics for Biology and Health ;
オンライン: http://dx.doi.org/10.1007/978-0-387-69810-6
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37.

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edited by Marco A.R. Ferreira, Herbert K.H. Lee
出版情報: New York : Springer Science+Business Media, LLC, 2007
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-70898-0
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edited by Kyriaki Kosmidou, Michael Doumpos, Constantin Zopounidis
出版情報: Boston, MA : Springer-Verlag US, 2008
シリーズ名: Springer Optimization and Its Applications ; 15
オンライン: http://dx.doi.org/10.1007/978-0-387-76680-5
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edited by G. P. Nason
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-0-387-75961-6
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by Stefano M. Iacus
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Springer Series in Statistics ; 1
オンライン: http://dx.doi.org/10.1007/978-0-387-75839-8
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edited by Jan de Leeuw, Erik Meijer
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
オンライン: http://dx.doi.org/10.1007/978-0-387-73186-5
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by John W. Chinneck
出版情報: Boston, MA : Springer Science+Business Media, LLC, 2008
シリーズ名: International Series in Operations Research and Management Science ; 118
オンライン: http://dx.doi.org/10.1007/978-0-387-74932-7
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by Bernhard Pfaff ; edited by Robert Gentleman, Kurt Hornik, Giovanni Parmigiani
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-0-387-75967-8
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by Myoung-jae Lee
出版情報: New York, NY : Springer-Verlag New York, 2010
オンライン: http://dx.doi.org/10.1007/b60971
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by Paul R. Rosenbaum
出版情報: New York, NY : Springer-Verlag New York, 2010
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-1213-8
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by Carlo Gaetan, Xavier Guyon
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-92257-7
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47.

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edited by Luigi Biggeri, Guido Ferrari
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/10.1007/978-3-7908-2140-6
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by Tomas Cipra
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-46347-2
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目次情報: 続きを見る
1. Introduction
I. Subject of Time Series
2. Random Processes
II. Decomposition of Economic Time Series
3. Trend
4. Seasonality and Periodicity
5. Residual Component
III. Autocorrelation Methods for Univariate Time Series
6. Box-Jenkins Methodology
7. Autocorrelation Methods in Regression Models
IV. Financial Time Series
8. Volatility of Financial Time Series
9. Other Methods for Financial Time Series
10. Models of Development of Financial Assets
11. Value at Risk
V. Multivariate Time Series
12. Methods for Multivariate Time Series
13. Multivariate Volatility Modeling
14. State Space Models of Time Series
References
Index
1. Introduction
I. Subject of Time Series
2. Random Processes
49.

電子ブック

EB
by Timina Liu, Shuangzhe Liu, Lei Shi
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-981-15-0321-4
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目次情報: 続きを見る
1 Introduction
1.1 Overview
1.2 SAS Enterprise Guide
2 Basic Statistics and Regression Models
2.1 Calculating New Variables
2.2 Normality Test
2.3 Simple Linear Regression
2.4 Multiple Linear Regression
3 Time Series
3.1 Smoothing Methods
3.2 ARIMA Model
3.3 Regression Model with AR Errors
4 Panel Models
4.1 Fixed effect
4.2 Random Effect
References
1 Introduction
1.1 Overview
1.2 SAS Enterprise Guide
50.

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
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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