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Modelling Binary Data, Second Edition

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INTRODUCTION Some Examples The Scope of this Book Use of Statistical Software STATISTICAL INFERENCE FOR BINARY DATA The Binomial Distribution Inference about the Success Probability Comparison of Two Proportions Comparison of Two or More Proportions MODELS FOR BINARY AND BINOMIAL DATA Statistical Modelling Linear Models Methods of Estimation Fitting Linear Models to Binomial Data Models for Binomial Response Data Read more...

Abstract: INTRODUCTION Some Examples The Scope of this Book Use of Statistical Software STATISTICAL INFERENCE FOR BINARY DATA The Binomial Distribution Inference about the Success Probability Comparison of Two Proportions Comparison of Two or More Proportions MODELS FOR BINARY AND BINOMIAL DATA Statistical Modelling Linear Models Methods of Estimation Fitting Linear Models to Binomial Data Models for Binomial Response Data The Linear Logistic Model Fitting the Linear Logistic Model to Binomial Data Goodness of Fit of a Linear Logistic Model Comparing Linear Logistic Models Linear Trend in Proportions Co

Author(s): Collett, David
Series: Chapman & Hall/CRC Texts in Statistical Science
Edition: 2nd ed
Publisher: CRC Press
Year: 2002

Language: English
Pages: 397
City: Hoboken
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;

Content: Front Cover
Contents
Preface to the second edition
Preface to the first edition
CHAPTER 1: Introduction
CHAPTER 2: Statistical inference for binary data
CHAPTER 3: Models for binary and binomial data
CHAPTER 4: Bioassay and some other applications
CHAPTER 5: Model checking
CHAPTER 6: Overdispersion
CHAPTER 7: Modelling data from epidemiological studies
CHAPTER 8: Mixed models for binary data
CHAPTER 9: Exact Methods
CHAPTER 10: Some additional topics
CHAPTER 11: Computer software for modelling binary data
APPENDIX A: Values of logit(p) and probit(p) APPENDIX B: Some derivationsAPPENDIX C: Additional data sets
References
Back Cover