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024 7 $a10.1201/9781420075779 
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100   $a20180706d2009      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aLogistic regression models /$fJoseph M. Hilbe
210  1$aBoca Raton :$cChapman & Hall/CRC,$d2009.
215   $a1 online resource (658 p.)
225 1 $aChapman & Hall/CRC texts in Statistical Science Series
225 0 $aA Chapman & Hall Book
300   $aDescription based upon print version of record.
311   $a1-138-10671-2 
311   $a1-4200-7575-6 
320   $aIncludes bibliographical references and index.
327   $aFront cover; Contents; Preface; Chapter 1. Introduction; Chapter 2. Concepts Related to the Logistic Model; Chapter 3. Estimation Methods; Chapter 4. Derivation of the Binary Logistic Algorithm; Chapter 5. Model Development; Chapter 6. Inteactions; Chapter 7. Analysis of Model Fit; Chapter 8. Binomial Logistic Regression; Chapter 9. Overdispersion; Chapter 10. Ordered Logistic Regression; Chapter 11. Multinomial Logistic Regression; Chapter 12. Alternative Categorical Response Models; Chapter 13. Panel Models; Chapter 14. Other Types of Logistic-Based Models
327   $aChapter 15. Exact Logistic RegressionConclusion; Appendix A: Brief Guide to Using Stata Commands; Appendix B: Stata and R Logistic Models; Appendix C: Greek Letters and Major Functions; Appendix D: Stata Binary Logistic Command; Appendix E: Derivation of the Beta Binomial; Appendix F: Likelihood Function of the Adaptive Gauss-Hermite Quadrature Method of Estimation; Appendix G: Data Sets; Appendix H: Marginal Effects and Discrete Change ; References; Author Index; Subject Index; Back cover
410  0$aTexts in statistical science.
606   $aLogistic regression analysis$xData processing
608   $aElectronic books.
615  0$aLogistic regression analysis$xData processing.
676   $a519.5/36
700   $aHilbe$b Joseph$0281747
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910460587303321
996   $aLogistic regression models$970080
997   $aUNINA