基于广义线性模型的多元统计建模（英文版）

    本书主要讨论广义线性模型在单变量及多变量回归分析中的应用。书中通过生物学、经济学和社会学等方面多达60余个应用实例，对近年来广义线性模型新的科研成果作了系统介绍，内容新颖，实用性强。

Preface List of Examples
List of Figures
List of Tables
1 Introduction
1.1 Outline and examples
1.2 Remarks on notation
1.3 Further reading
2 Modelling and analysis of cross-sectional data: a review of univariate generalized linear models
2.1 Univariate generalized linear models
2.2 Likelihood inference
2.3 Some extensions
2.4 Further developments
3 Models for multicategorical responses:multivariate extensions of generalized linear models
3.1 Multicategorical response models
3.2 Models for nomial responese
3.3 Models fro ordinal responses
3.4 Statistical inference
3.5 Multivariate models for correlated responses
4 Selecting and checking models
4.1 Variable selection
4.2 Diagnostics
4.3 General tests for misspecification
5 Semi-and nonparametric approaches to regression analysis
5.1 Smoothing techniques for continuous responses
5.2 Kernel smoothing with multicategorical response
5.3 Spline smoothing in generalixed lineal models
6 Fixed parameter models for time series and longitudinal data
6.1 Time series
6.2 Longitudinal data
7 Random effects models
7.1 Linear random effects models for normal data
……
8 State space models
9 Survival models
Appendix A
Appendix B Software for fitting generalized linear models
References
Author Index
Subject index