Regression Models for Categorical Dependent Variables Using Stata, Second Edition Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. The authors also provide a suite of commands for hypothesis testing and model
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| Title | : | Regression Models for Categorical Dependent Variables Using Stata, Second Edition |
| Author | : | |
| Rating | : | 4.92 (796 Votes) |
| Asin | : | 1597180114 |
| Format Type | : | Paperback |
| Number of Pages | : | 527 Pages |
| Publish Date | : | 2005-11-15 |
| Genre | : |
Editorial :
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 Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book. The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers in detail binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms. One appendix discusses the syntax of the author-written commands, and a second gives details of the datasets used by the authors in the book. Nearly 50
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30. One of the best required text books I have used.. Although this text may contain great information, e
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