๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Regression Models for Categorical Dependent Variables Using Stata

โœ Scribed by J. Scott Long, Jeremy Freese


Publisher
Stata Press
Year
2001
Tongue
English
Leaves
311
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects


Regression analysis;Stata;Social sciences -- Statistical methods -- Data processing;Regressionsanalyse


๐Ÿ“œ SIMILAR VOLUMES


Regression Models for Categorical Depend
โœ J. Scott Long ; Jeremy Freese ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Stata Press ๐ŸŒ English

Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with

Regression Models for Categorical Depend
โœ J. Scott Long, Jeremy Freese ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Stata Press ๐ŸŒ English

<P><STRONG>Regression Models for Categorical Dependent Variables Using Stata, Third Edition</STRONG> shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rewrite of the book. Factor variables and the <B>margins</B> command changed how th

Generalized Linear Models for Categorica
โœ Michael Smithson (Author); Edgar C. Merkle (Author) ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Chapman and Hall/CRC

<p>Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuou

Generalized linear models for categorica
โœ Merkle, Edgar C.; Smithson, Michael ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› CRC Press ๐ŸŒ English

"Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or