Talk:Ratio estimator: Difference between revisions
Lahiri's method description seems wrong. |
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I bet the description of Lahiri's method in this article is wrong. I don't know Lahiri's method but I'm guessing it's just the Midzuno-Sen method using rejection sampling. If that's correct I would move the description of Midzuno-Sen before the description of Lahiri and replace the description of the Lahiri method with a brief statement that it's Midzuno-Sen using rejection sampling to pick the first item. |
I bet the description of Lahiri's method in this article is wrong. I don't know Lahiri's method but I'm guessing it's just the Midzuno-Sen method using rejection sampling. If that's correct I would move the description of Midzuno-Sen before the description of Lahiri and replace the description of the Lahiri method with a brief statement that it's Midzuno-Sen using rejection sampling to pick the first item. |
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[[Special:Contributions/2620:0:1003:1019:24E6:C515:AC70:A1BB|2620:0:1003:1019:24E6:C515:AC70:A1BB]] ([[User talk:2620:0:1003:1019:24E6:C515:AC70:A1BB|talk]]) 18:30, 3 September 2015 (UTC) |
[[Special:Contributions/2620:0:1003:1019:24E6:C515:AC70:A1BB|2620:0:1003:1019:24E6:C515:AC70:A1BB]] ([[User talk:2620:0:1003:1019:24E6:C515:AC70:A1BB|talk]]) 18:30, 3 September 2015 (UTC) |
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I have corrected the application of Lahiri's method and fixed poor citations of a couple of other references. The Lahiri method is based upon the textbook by Lohr, cited. Incidently, Lahiri's method is not limited to ratio estimators but is a general sampling technique. |
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}} 19:42, 1 July 2016 (UTC) |
Revision as of 19:42, 1 July 2016
Statistics C‑class Mid‑importance | ||||||||||
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This article is very poorly written, and no assumptions are stated to justify the following claims:
- "θy is known to be asymptotically normally distributed." - asymptotics requires a parameter going to infinity, which is never stated. Is the resulting normality a result of the Central Limit Theorem? If so, an independence assumption must be made, as well as a finite-variance assumption.
- "E(x*1/y) = E(x)*E(1/y)" - this requires independence of x & y, which is never stated.
--65.209.72.194 (talk) 15:02, 25 July 2014 (UTC)
I bet the description of Lahiri's method in this article is wrong. I don't know Lahiri's method but I'm guessing it's just the Midzuno-Sen method using rejection sampling. If that's correct I would move the description of Midzuno-Sen before the description of Lahiri and replace the description of the Lahiri method with a brief statement that it's Midzuno-Sen using rejection sampling to pick the first item. 2620:0:1003:1019:24E6:C515:AC70:A1BB (talk) 18:30, 3 September 2015 (UTC)
I have corrected the application of Lahiri's method and fixed poor citations of a couple of other references. The Lahiri method is based upon the textbook by Lohr, cited. Incidently, Lahiri's method is not limited to ratio estimators but is a general sampling technique.
empirical_bayesian@ieee.org
This user is a member of WikiProject Statistics. |
19:42, 1 July 2016 (UTC)