Regression Models for Categorical, Count and Related Variables: An Applied Approach

By:

Hoffmann, John P

Material type: Text

TextPublication details: University of California Press 2016 OaklandDescription: 411pISBN:

9780520289291

Subject(s):

Regression Analysis - Mathematical Models

DDC classification:

519.536 HOF

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	519.536 HOF (Browse shelf(Opens below))	Available		M0033933

Total holds: 0

1. Review of linear regression models
2. Categorical data and generalized linear models
3. Logistic and profit regression models
4. Ordered logistic and probit regression models
5. Multinomial logistic and probit regression models
6. Poisson and negative binomial regression models
7. Event history models
8. Regression models for longitudinal data
9. Multilevel regression models
10. Principal components and factor analysis
11. Appendix A : SAS, SPSS and R code for examples in chapters
12. Appendix B : using simulations to examine assumptions of OLS regression
13. Appendix C : working with missing data

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