Talk:Estimator
Talk:Estimator θ is an unbiased estimator of θ iff B(θ) = 0 for ... values of theta. B depends on the estimator (function of data) but also on the ... knowing it you design a procedure (the estimator) to compute an estimate from the ...
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Talk:Kaplan-Meier estimator
Talk:Kaplan-Meier estimator This entry needs more examples, possibly a ...
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Talk:Minimum-variance unbiased estimator
Talk:Minimum-variance unbiased estimator Michael Hardy wrote: Deleting nonsense. I already ... the MVUE (if it exists). If the estimator is unbiased then minimizing the variance is ... 00, 10 Mar 2005 (UTC) IF and estimator is unbiased. Read the line above! That ... be saying that the minimum-variance unbiased estimator has the smallest MSE of ANY ...
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Talk:Variance
Talk:Variance Use of [] vs () I was wondering ... was added by 194.171.7.39 (talk • contribs) 14:51, 9 February 2006 ... was added by 68.100.26.175 (talk • contribs) 19:43, 5 April 2004 ... s^2) Can anybody provide an estimator for the variance of the variance estimator? If I calculate the population variance ...
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Talk:Correlation
Talk:Correlation Could we see some account of ... the difference between a statistic and an estimator for that statistic. The Pearson product-moment ... There is no such thing as an estimator for a statistic; probably you mean as estimator of a population parameter; and statisticians pay ... preceding unsigned comment was added by Phili (talk • contribs) . I reverted that note. ...
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Talk:Heteroscedacity
Talk:Heteroscedacity Is it just me, or is ... is violated, OLS is not an efficient estimator? merge Unless I'm missing something, the ... P.S. this should be discussed at Talk:Heteroskedasticity, not here. --Trovatore 08:00, 21 ...
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Talk:Skewness
Talk:Skewness The statement about unbiasedness of the ... generalises to all distributions. In fact the estimator for the central third moment in the ...
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Talk:OTE
Talk:OTE OTE can also mean: Off Track ... Over the Edge (game) Own-Ship Trajectory Estimator Ta bu shi da yu 07:57 ...
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Talk:Kurtosis
Talk:Kurtosis If this is the "fourth standardized ... apply here. Unbiasedness of the given kurtosis estimator requires independence of the observations and does ...
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Talk:Kalman filter
Talk:Kalman filter Talk page tidy I've removed remarks here ... and "...the Kalman filter is an optimal estimator in a least squares sense of the ... 18 Apr 2005 (UTC) A least squares estimator simply means that the error-metric for ... the kalman filter isn't an optimal estimator in the least sqaures sence, merely ...
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