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S Dec 18, 2022 at 17:20 history suggested Glorfindel CC BY-SA 4.0
broken link fixed, cf. https://meta.mathoverflow.net/q/5301/70594
Dec 18, 2022 at 17:03 review Suggested edits
S Dec 18, 2022 at 17:20
May 18, 2019 at 16:53 comment added Isabella Ghement Superb response! The approaches suggested here assume homoscedastic model errors - I have worked on projects where this assumption was not tenable. I would also suggest the use of gamma regression as an alternative, which would bypass the need for a bias correction.
May 18, 2019 at 16:38 history edited kjetil b halvorsen CC BY-SA 4.0
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Apr 13, 2017 at 12:44 history edited CommunityBot
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Sep 10, 2012 at 16:03 vote accept Vegard
Jul 31, 2012 at 14:56 history edited user10525 CC BY-SA 3.0
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Jul 31, 2012 at 12:53 history edited user10525 CC BY-SA 3.0
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Jul 31, 2012 at 12:15 comment added Frank Harrell Beautiful response @Procrastinator. One other approach is the smearing estimator, which uses all the residuals off of the mean on the log scale to get $n$ predicted values on the original scale and simply averages them. I'm less up to date on confidence intervals using this approach though, except for using the standard bootstrap percentile method.
Jul 31, 2012 at 11:53 comment added user10525 @StéphaneLaurent Thanks for the info. I would like to see the outcome of your code with the new prior. I was not aware of the commands and the package that you are using.
Jul 31, 2012 at 11:51 comment added Stéphane Laurent (+1) I think you can also get confidence intervals based on maximum-likelihood theory with the distrMod R package
Jul 31, 2012 at 11:44 history edited user10525 CC BY-SA 3.0
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Jul 31, 2012 at 11:38 history edited user10525 CC BY-SA 3.0
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Jul 31, 2012 at 11:11 history edited user10525 CC BY-SA 3.0
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Jul 31, 2012 at 11:05 history answered user10525 CC BY-SA 3.0