Multivariate Statistical Modelling Based on Generalized Linear Models
Since our first edition of this book, many developments in statistical mod elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2001, 2001
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| Edition: | 2nd ed. 2001 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Modelling and Analysis of Cross-Sectional Data: A Review of Univariate Generalized Linear Models
- 3. Models for Multicategorical Responses: Multivariate Extensions of Generalized Linear Models
- 4. Selecting and Checking Models
- 5. Semi- and Nonparametric Approaches to Regression Analysis
- 6. Fixed Parameter Models for Time Series and Longitudinal Data
- 7. Random Effects Models
- 8. State Space and Hidden Markov Models
- 9. Survival Models
- A.
- A.1 Exponential Families and Generalized Linear Models
- A.2 Basic Ideas for Asymptotics
- A.3 EM Algorithm
- A.4 Numerical Integration
- A.5 Monte Carlo Methods
- B. Software for Fitting Generalized Linear Models and Extensions
- Author Index