Timeline for Why is the deviance defined with a factor 2 (or likelihood ratio squared)?
Current License: CC BY-SA 4.0
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| Apr 21, 2023 at 23:05 | comment | added | Erik | Hello, I figured this isn't worth a full response, but your edit is still up about not having a satisfying answer. I found this Likelihood-ratio test page from your Wilks' theorem page, which says that multiplying by −2 ensures that, in Wilks' theorem, the likelihood ratio converges to being chi-squared distributed if the null hypothesis is true. It gives the reference Silvey, S.D. (1970). Statistical Inference. London: Chapman & Hall. pp. 112–114. So that's a direct answer. Hope that helps, I enjoyed your post. | |
| Sep 30, 2021 at 9:53 | history | edited | Ben | CC BY-SA 4.0 |
Major edit to improve clarity, mathematical notation
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| Dec 8, 2018 at 7:48 | vote | accept | fool | ||
| Dec 3, 2018 at 3:00 | history | tweeted | twitter.com/StackStats/status/1069426138685030400 | ||
| Dec 2, 2018 at 23:37 | answer | added | Ben | timeline score: 2 | |
| Dec 2, 2018 at 20:24 | history | edited | fool | CC BY-SA 4.0 |
added 126 characters in body
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| Dec 1, 2018 at 19:50 | review | First posts | |||
| Dec 1, 2018 at 23:21 | |||||
| Dec 1, 2018 at 19:49 | history | asked | fool | CC BY-SA 4.0 |