Introduction to Statistical Modelling
This book is about generalized linear models as described by NeIder and Wedderburn (1972). This approach provides a unified theoretical and computational framework for the most commonly used statistical methods: regression, analysis of variance and covariance, logistic regression, log-linear models...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer US
1983, 1983
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| Edition: | 1st ed. 1983 |
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| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Model Fitting
- 3 Exponential Family of Distributions and Generalized Linear Models
- 4 Estimation
- 5 Inference
- 6 Multiple Regression
- 7 Analysis of Variance and Covariance
- 8 Binary Variables and Logistic Regression
- 9 Contingency Tables and Log-Linear Models
- Appendix 1
- Appendix 2
- Appendix 3
- Appendix 4
- References