Timeline for Asymptotic relative efficiency of median vs mean for Student t distribution
Current License: CC BY-SA 3.0
9 events
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Nov 29, 2015 at 0:12 | history | edited | Glen_b |
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Jun 11, 2012 at 13:29 | history | edited | user88 | CC BY-SA 3.0 |
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Jun 11, 2012 at 12:47 | history | edited | whuber♦ |
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Jun 11, 2012 at 4:26 | history | migrated | from math.stackexchange.com (revisions) | ||
May 21, 2012 at 15:14 | comment | added | Mobius Pizza | @ZevChonoles Thanks Michael and Zev. I have done more investigation. Although I can find the theoretical explaination and replicate the curve in the blog link I gave, I found that the result does not match simulation experiment, as Michael pointed out the asymptoptic expression for sample distribution for say, a median estimator, is only valid for large sample size | |
May 21, 2012 at 9:36 | answer | added | Mobius Pizza | timeline score: -2 | |
May 18, 2012 at 17:17 | comment | added | Michael R. Chernick | I don't understand the question. What is the population distribution? Is it a normal? a student t? ARE is a limiting property as n goes to infinity. So how do degrees of freedom and sample size enter into this. A good source for these things might be Lehmann's Theory of Estimation book or a good nonparametrics text like Hajek and Sidak The Theory of Rank Tests. | |
May 18, 2012 at 14:36 | comment | added | Mobius Pizza | I solved it myself, will post my own answer later :) | |
May 18, 2012 at 13:31 | history | asked | Mobius Pizza | CC BY-SA 3.0 |