Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 The Data Sets
- 2 The Model-Building Process
- 3 Constant Variance Response Models
- 4 Nonconstant Variance Response Models
- 5 Discrete, Categorical Response Models
- 6 Count Response Models
- 7 Time-to-Event Response Models
- 8 Longitudinal Response Models
- 9 Structural Equation Modeling
- 10 Matching Data to Models
- Bibliography
- Index
- References
Bibliography
Published online by Cambridge University Press: 03 August 2017
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 The Data Sets
- 2 The Model-Building Process
- 3 Constant Variance Response Models
- 4 Nonconstant Variance Response Models
- 5 Discrete, Categorical Response Models
- 6 Count Response Models
- 7 Time-to-Event Response Models
- 8 Longitudinal Response Models
- 9 Structural Equation Modeling
- 10 Matching Data to Models
- Bibliography
- Index
- References
Summary
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- Chapter
- Information
- Handbook for Applied Modeling: Non-Gaussian and Correlated Data , pp. 211 - 212Publisher: Cambridge University PressPrint publication year: 2017
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