Log-Linear Models and Logistic Regression
Ronald Christensen
Venduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
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Aggiungere al carrelloVenduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Condizione: Nuovo
Quantità: 2 disponibili
Aggiungere al carrelloNeuware -As the new title indicates, this second edition of Log-Linear Models has been modi ed to place greater emphasis on logistic regression. In addition to new material, the book has been radically rearranged. The fundamental material is contained in Chapters 1-4. Intermediate topics are presented in Chapters 5 through 8. Generalized linear models are presented in Ch- ter 9. The matrix approach to log-linear models and logistic regression is presented in Chapters 10-12, with Chapters 10 and 11 at the applied Ph.D. level and Chapter 12 doing theory at the Ph.D. level. The largest single addition to the book is Chapter 13 on Bayesian bi- mial regression. This chapter includes not only logistic regression but also probit and complementary log-log regression. With the simplicity of the Bayesian approach and the ability to do (almost) exact small sample s- tistical inference, I personally nd it hard to justify doing traditional large sample inferences. (Another possibility is to do exact conditional inference, but that is another story.) Naturally,Ihavecleaneduptheminor awsinthetextthatIhavefound. All examples, theorems, proofs, lemmas, etc. are numbered consecutively within each section with no distinctions between them, thus Example 2.3.1 willcomebeforeProposition2.3.2.Exercisesthatdonotappearinasection at the end have a separate numbering scheme. Within the section in which it appears, an equation is numbered with a single value, e.g., equation (1).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch.
Codice articolo 9781475771138
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