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電子ブック
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1. Linear Models and Generalizations : Least Squares and Alternatives. Third Extended Edition
by C. Radhakrishna Rao, Shalabh, Helge Toutenburg, Christian Heumann
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2008
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-540-74227-2
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電子ブック
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2. Recent Advances in Linear Models and Related Areas : Essays in Honour of Helge Toutenburg
by Shalabh, Christian Heumann
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2008
オンライン: http://dx.doi.org/10.1007/978-3-7908-2064-5
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3.

電子ブック
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3. Statistical Foundations, Reasoning and Inference : For Science and Data Science. 1st ed. 2021
by Göran Kauermann, Helmut Küchenhoff, Christian Heumann
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-69827-0
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目次情報: 続きを見る
Introduction
Background in Probability
Parametric Statistical Models
Maximum Likelihood Inference
Bayesian Statistics
Statistical Decisions
Regression
Bootstrapping
Model Selection and Model Averaging
Multivariate and Extreme Value Distributions
Missing and Deficient Data
Experiments and Causality
Introduction
Background in Probability
Parametric Statistical Models
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4. Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R. 2nd ed. 2022
by Christian Heumann, Michael Schomaker, Shalabh
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-031-11833-3
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目次情報: 続きを見る
Part I Descriptive Statistics: Introduction and Framework
Frequency Measures and Graphical Representation of Data
Measures of Central Tendency and Dispersion
Association of Two Variables
Part I Probability Calculus: Combinatorics
Elements of Probability Theory
Random Variables
Probability Distributions
Part III Inductive Statistics: Inference
Hypothesis Testing
Linear Regression
Logistic Regression
Part IV Additional Topics Simple Random Sampling and Bootstrapping
Causality
Part V Appendices: Introduction to R
Solutions to Exercises
Technical Appendix
Visual Summaries
Part I Descriptive Statistics: Introduction and Framework
Frequency Measures and Graphical Representation of Data
Measures of Central Tendency and Dispersion