Regression Models for Categorical, Count, and Related Variables
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Published By University Of California Press

9780520965492

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Frontmatter

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-fm ◽

2019 ◽

pp. i-vi

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8. Regression Models for Longitudinal Data

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-010 ◽

2019 ◽

pp. 189-206

Keyword(s):

Longitudinal Data ◽

Regression Models

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6. Poisson and Negative Binomial Regression Models

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-008 ◽

2019 ◽

pp. 131-158

Keyword(s):

Regression Models ◽

Negative Binomial ◽

Negative Binomial Regression ◽

Binomial Regression

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Index

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-017 ◽

2019 ◽

pp. 403-412

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5. Multinomial Logistic and Probit Regression Models

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-007 ◽

2019 ◽

pp. 111-130

Keyword(s):

Regression Models ◽

Probit Regression

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3. Logistic and Probit Regression Models

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-005 ◽

2019 ◽

pp. 63-86

Keyword(s):

Regression Models ◽

Probit Regression

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2. Categorical Data and Generalized Linear Models

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-004 ◽

2019 ◽

pp. 39-62

Keyword(s):

Generalized Linear Models ◽

Categorical Data ◽

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Appendix B: Using Simulations to Examine Assumptions of OLS Regression

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-014 ◽

2019 ◽

pp. 383-388 ◽

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Appendix A: SAS, SPSS, and R Code for Examples in Chapters

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-013 ◽

2019 ◽

pp. 269-382

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10. Principal Components and Factor Analysis

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-012 ◽

2019 ◽

pp. 243-268

Keyword(s):

Factor Analysis ◽

Principal Components

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