Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences) (Hardback)
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all these other countries) Usually dispatched within 48 hours | |Short Description for Regression Models for Categorical and Limited Dependent Variables A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied.
Full description- Publisher: SAGE Publications Inc
- Published: 21 February 1997
- Format: Hardback 328 pages
- See: Full bibliographic data
- Categories: Social Research & Statistics | Probability & Statistics
- ISBN 13: 9780803973749 ISBN 10: 0803973748
- Sales rank: 357,438
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Full description for Regression Models for Categorical and Limited Dependent Variables
A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible. After a review of the linear regression model and an introduction to maximum likelihood estimation, the book then: covers the logit and probit models for binary outcomes; reviews standard statistical tests associated with maximum likelihood estimation; and considers a variety of measures for assessing the fit of a model. J Scott Long also: extends the binary logit and probit models to ordered outcomes; presents the multinomial and conditioned logit models for nominal outcomes; considers models with censored and truncated dependent variables with a focus on the tobit model; describes models for sample selection bias; presents models for count outcomes by beginning with the Poisson regression model; and compares the models from earlier chapters, discussing the links between these models and others not discussed in the book.
 is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied.){kind=link}