Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
| Author | : | |
| Rating | : | 4.97 (817 Votes) |
| Asin | : | 0803973748 |
| Format Type | : | paperback |
| Number of Pages | : | 328 Pages |
| Publish Date | : | 2017-10-15 |
| Language | : | English |
DESCRIPTION:
Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. In addition, the author explains how models relate to linear regression models whenever possible.
"Useful review of ML based methods" according to JVerkuilen. A nice review of MLE-based methods for categorical, limited, and ordinal dependent variables. Most social science data is best thought of as categorical, ordinal, etc., not interval, and so a readable treatment of one approach to the analysis of such data that does not rely on intervality assumptions is worthwhile.The author has a very clear explanation of topics such . "Most intuitive book on the subject" according to A Customer. This book is especially useful to start understanding topics like ordered probit, multinomial logit, negative binomial regression and zero-inflated count models. Although it starts with a chapter on the linear regression model, it should not be mistaken for an introductory text. I would certainly advise readers with limited background in regression models to start with. Most intuitive book on the subject This book is especially useful to start understanding topics like ordered probit, multinomial logit, negative binomial regression and zero-inflated count models. Although it starts with a chapter on the linear regression model, it should not be mistaken for an introductory text. I would certainly advise readers with limited background in regression models to start with
In summary, the author exceeds his goal to provide ‘a firm foundation’ for further reading from the vast and growing literature on limited and categorical dependent variables." (Ulf Bockenholt Chance) . "Regression Models for Categorical and Limited Dependent Variables excels at explaining applications of nonlinear regression modelsThe book provides much practical guidance for the estimation, identification, and validation of models for CLDVs. Each chapter is interspersed with exercises and helpful questions
In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality. Scott Long is Distinguished Professor and Chancellor's Professor of Sociology and Statistics at Indiana University, Bloomington. . His earlier research examined gender differences