Timeline for Multinomial logistic regression vs one-vs-rest binary logistic regression
Current License: CC BY-SA 3.0
5 events
when toggle format | what | by | license | comment | |
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Aug 17, 2020 at 23:07 | comment | added | user3889486 | @TomekTarczynski take a look here: libgen.is/… | |
Oct 25, 2015 at 16:16 | comment | added | Franck Dernoncourt | Quote from the Agresti book: "The separate-fitting estimates differ from the ML estimates for simultaneous fitting of the J-1 logits. They are less efficient, tending to have larger standard errors. However, Begg and Gray 1984 showed that the efficiency loss is minor when the response category having highest prevalence is the baseline.". | |
Mar 14, 2013 at 17:24 | comment | added | julieth | @TomekTarczynski I summarized the relevant information from the paragraph, so you may not get any more info related to this question from looking at the book (although the book is great so you will get other good info). | |
Mar 14, 2013 at 13:39 | comment | added | Tomek Tarczynski | Thanks! I will try to find this book, unfortunatelly google.books provides content only till page 268. | |
Mar 13, 2013 at 15:07 | history | answered | julieth | CC BY-SA 3.0 |