[PDF.41vn] Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
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Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
J. Scott Long
[PDF.jq68] Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)
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| #237787 in Books | SAGE Publications, Inc | 1997-01-09 | Original language:English | PDF # 1 | 9.32 x1.01 x6.42l,1.48 | File type: PDF | 328 pages | ||6 of 6 people found the following review helpful.| Useful review of ML based methods|By 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 autho|||"Regression Models for Categorical and Limited Dependent Variables excels at explaining applications of nonlinear regression models. . . The book provides much practical guidance for the estimation, identification, and validation of models for CLDVs. Ea
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.
You easily download any file type for your gadget.Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences) | J. Scott Long. I really enjoyed this book and have already told so many people about it!
