Regression Models for Categorical Dependent Variables Using Stata, Second Edition (9781597180115): J. Scott Long, Jeremy Freese

Free Ebook Download
Publication Date: November 15,2005 | ISBN-10: 1,597,180,114 ISBN-13 :978-1597180115 Edition: 2
Category of the dependent variable regression model is common, there is little text explains how to interpret this model. Categorical dependent variable of the regression model, the second edition, using Stata fill this gap, and how to adapt and explain the regression model with Stata classification data. The author also provides a set of commands, hypothesis testing and model diagnostics to accompany the book.

The beginning of this book, and then provide a good introduction to Stata, general estimates of treatment, testing, with and explained in this type of model. It covers in detail binary, ordered, in a separate chapter in the name of, and results. The final chapter discusses how to adapt to and explain model has a special feature, such as the sequence and the name of the independent variables, interactive, nonlinear terms. An appendix discussion of written commands, syntax and the second of the data sets used in the book for more information.

Nearly 50% of the time than the previous version, this book covers the fitting and interpreting models in Stata 9 new topic, such as polynomial probability model, Logistic regression model of the stereotype, and zero-truncated computational model. The interpretation of many of the techniques have been updated to include the interval and point estimate.

A new second version:
Stereotype logistic regression model regression model, the Logit model order, as well as a number of Probit model, including zero-truncated Poisson and zero-truncated negative binomial model, OFF mode, counting
Stata commands, such as the ESTAT, it provides a unified way to access statistics for postestimation explained.
Extended suite of programs known as SPost
The confidence interval contains the calculated prvalue and prgen forecast

All examples, data sets, as well as of the written order from the author's website, readers can easily copy specific examples of using Stata, making it ideal for students or would like to know how to adapt to the application and interpretation of model studies classified data.
Show more