Regression models for categorical, count, and related variables : an applied approach /
"Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Oakland, California :
University of California Press,
[2016]
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Review of linear regression models
- Categorical data and generalized linear models
- Logistic and probit regression models
- Ordered logistic and probit regression models
- Multinomial logistic and probit regression models
- Poisson and negative binomial regression models
- Event history models
- Regression models for longitudinal data
- Multilevel regression models
- Principal components and factor analysis
- Appendix A : SAS, SPSS, and R code for examples in chapters
- Appendix B : using simulations to examine assumptions of OLS regression
- Appendix C : working with missing data.