Timeline for Prove the consistency of estimator
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jun 11, 2020 at 14:32 | history | edited | CommunityBot |
Commonmark migration
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| Aug 27, 2016 at 14:04 | history | edited | Paul | CC BY-SA 3.0 |
added 329 characters in body
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| Aug 27, 2016 at 14:01 | vote | accept | Paul | ||
| Aug 26, 2016 at 17:50 | answer | added | Greenparker | timeline score: 1 | |
| Aug 26, 2016 at 17:29 | comment | added | luchonacho | Your estimator is the inverse of an average. There is no way the variance of that estimator is ever going to zero. The CLT works because variances of averages fall the more information is available. Your MLE invariance is therefore wrong. | |
| Aug 26, 2016 at 17:23 | history | asked | Paul | CC BY-SA 3.0 |