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 ◽

Linear Models

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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 ◽

Cited By ~ 1

Keyword(s):

Ols Regression

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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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Regression Models for Categorical, Count, and Related VariablesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By University Of California Press

Frontmatter

8. Regression Models for Longitudinal Data

6. Poisson and Negative Binomial Regression Models

Index

5. Multinomial Logistic and Probit Regression Models

3. Logistic and Probit Regression Models

2. Categorical Data and Generalized Linear Models

Appendix B: Using Simulations to Examine Assumptions of OLS Regression

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

10. Principal Components and Factor Analysis

Regression Models for Categorical, Count, and Related Variables
Latest Publications