Unbiased Estimator


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Unbiased Estimator

A mathematical estimation of the value of some unknown that does not differ from the unknown's true value.
References in periodicals archive ?
Kriging is a geostatistical estimation method which can be considered as the best unbiased estimator.
For each age group, we estimated the number of emergency department visits for influenza A(H1N1) pdm09 missed by both surveillance systems by using the nearly unbiased estimator equation, a modification of the Petersen estimator that performs well with rare outcomes: d = bc / (a + 1) (11,13).
However, one cannot expect to obtain an unbiased estimator this way.
In addition, according to David (1995), he is the original source for the following commonly used terminology in statistics and econometrics: minimum variance unbiased estimator (Aitken & Silverstone, 1942) and probability function (Aitken, 1939b).
Hence, the best linear, unbiased estimator of the multidimensional latent risk parameter [[THETA].
In that criterion, we minimize the average difference between a reconstructed function and an individual target function over a noise ensemble subject to the condition that the reconstructed function is an unbiased estimator of the best approximation obtainable from noiseless sampled values.
This is consistent with the result (Diggle 1977, Byth 1982) that for complete spatially random populations, PNN does provide a largely unbiased estimator.
When means and standard deviations were available for field-trip and non-field-trip groups, effect size (d-index) was calculated using a modified Glass unbiased estimator (Hedges & Olkin, 1985).
The aim of the present article is to develop an unbiased estimator of emigration rate from no-take areas by using data of tag releases both into the sanctuary and into the fished zone surrounding it, but where recoveries from nonmoving tagged animals are only possible from the fished zone.
However, the crucial feature of the proof of the Gauss-Markov theorem is that, of all possible sets of weights formed from the observations on the independent variables and applied to the observations on the dependent variables to form a linear unbiased estimator, the weights produced by the OLS estimator will produce the minimum variance estimator.
Mathematically, serial correlation of data violates many of the basic assumptions that are required to use measurements like an average or a standard deviation as an unbiased estimator of system performance.
An unbiased estimator will, on average, yield the true value of a random variable.