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"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contin…
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contin…
A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way conting…
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contin…
[Contents] 1 Introduction: Distributions and Inference for Categorical Data - 2 Describing Contingency Tables - 3 Inference for Two-Way Contingency Tables - 4 Introduction to Generalized Linear Models - 5 Logistic Regression - 6 Building, Checking, and Applying Logistic Regressi…
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contin…
Illustrated with screenshots, cases and exercises and accompanied by a companion website containing datasets that can be easily uploaded onto SPSS and AMOS, this title keeps maths to a minimum and contains an appendix covering basic forms of statistical analysis. Introduction t…
