demote 发表于 2025-3-25 06:44:16
ard 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 wiarrogant 发表于 2025-3-25 08:25:49
http://reply.papertrans.cn/63/6213/621262/621262_22.pngGorilla 发表于 2025-3-25 12:22:32
http://reply.papertrans.cn/63/6213/621262/621262_23.pngLAP 发表于 2025-3-25 17:58:44
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 presentedgimmick 发表于 2025-3-25 23:00:25
http://reply.papertrans.cn/63/6213/621262/621262_25.png自作多情 发表于 2025-3-26 02:24:39
Yurii A. Izyumov,Ruslan P. Ozerovddition 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 isREP 发表于 2025-3-26 08:23:37
http://reply.papertrans.cn/63/6213/621262/621262_27.pngCHASE 发表于 2025-3-26 12:19:44
Yurii A. Izyumov,Ruslan P. Ozerovddition 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 isMEAN 发表于 2025-3-26 15:50:18
http://reply.papertrans.cn/63/6213/621262/621262_29.pngAccede 发表于 2025-3-26 17:26:35
Yurii A. Izyumov,Ruslan P. Ozerovddition 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