Timeline for Kurtosis of a standardized Student's-t distribution?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Sep 17, 2018 at 22:01 | history | edited | Glen_b | CC BY-SA 4.0 |
added 185 characters in body
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| Sep 17, 2018 at 5:18 | comment | added | Glen_b | 1. It appears that the word "tend" keeps being missed here. 2. You're talking about a bernoulli(0.5) distribution, which is the least-peaked distribution (in the sense intended here) that's possible | |
| Sep 17, 2018 at 5:11 | comment | added | HelloGoodbye | A more peaked distribution doesn’t always result in a higher kurtosis. For example, a PDF that is the sum of two equally large Dirac delta functions actually has an extremely low kurtosis. | |
| Dec 15, 2017 at 2:36 | comment | added | BigBendRegion | This is not mathematically correct, Glen_b. Kurtosis measures virtually nothing about peakedness, and also nothing about probability content within the shoulders. The contribution of the peak to the kurtosis statistic is minimal as I have shown in my TAS paper. Instead, kurtosis measures tails, for all practical purposes. There are no counterexamples when "tail" is suitably defined. You really should edit your posts so as not to promote statistical illiteracy. | |
| Apr 25, 2013 at 13:43 | history | answered | Glen_b | CC BY-SA 3.0 |