基于广义线性模型的多元统计建模

出版时间:1998-8  出版社:北京世界图书出版公司  作者:L.Fahrmeir,  页数:425  
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内容概要

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。

书籍目录

Preface List of Examples List of FiguresList 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 developments3 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 responses4 Selecting and checking models  4.1 Variable selection  4.2 Diagnostics  4.3 General tests for misspecification5 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 models6 Fixed parameter models for time series and longitudinal data  6.1 Time series  6.2 Longitudinal data7 Random effects models  7.1 Linear random effects models for normal data  ……8 State space models9 Survival modelsAppendix AAppendix B Software for fitting generalized linear modelsReferencesAuthor IndexSubject index

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