Regression Models for Categorical Dependent Variables Using Stata, Second Edition
- ISBN-10
- 1597180114
- ISBN-13
- 9781597180115
- Category
- Mathematics
- Pages
- 527
- Language
- English
- Published
- 2006
- Publisher
- Stata Press
- Authors
- J. Scott Long, Jeremy Freese
Description
After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias.
Get the book
Similar books
-
Regression Models for Categorical Dependent Variables Using Stata, Third Edition
By J. Scott Long, Jeremy FreeseThis book is ideal for students or applied researchers who want to learn how to fit and interpret models for categorical data.
-
Regression Models for Categorical Dependent Variables Using Stata
By J. Scott LongThe 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.
-
Regression Models for Categorical and Limited Dependent Variables
By J. Scott LongThis book considers regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal, or count. I refer to these variables as categorical and limited dependent variables (hereafter CLDVs).
-
Data Analysis Using Stata
By Ulrich Köhler, Frauke Kreuter"This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks.
-
Statistical Methods for Categorical Data Analysis
By Yu Xie, Daniel PowersThis book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/
-
Interpreting and Visualizing Regression Models Using Stata
By Michael N. MitchellThis book provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models.
-
Modeling Count Data
By Joseph M. Hilbe"This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data.
-
An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report
By Nicholas Minot, Lisa DanielsWith real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.
-
An Introduction to Categorical Data Analysis
By Alan AgrestiAdding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods ...
-
The Workflow of Data Analysis Using Stata
By J. Scott LongThe Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts.