| 書目名稱 | Log-Linear Models and Logistic Regression |
| 編輯 | Ronald Christensen |
| 視頻video | http://file.papertrans.cn/588/587850/587850.mp4 |
| 叢書名稱 | Springer Texts in Statistics |
| 圖書封面 |  |
| 描述 | 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 wi |
| 出版日期 | Textbook 19972nd edition |
| 關鍵詞 | Generalized linear model; Likelihood; Logistic Regression; SAS; Variance; analysis of variance; binomial |
| 版次 | 2 |
| doi | https://doi.org/10.1007/b97647 |
| isbn_softcover | 978-1-4757-7113-8 |
| isbn_ebook | 978-0-387-22624-8Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Science+Business Media New York 1997 |
|Archiver|手機版|小黑屋|
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