unbiased estimator

unbiased estimator: French\ \ estimateur sans biais; estimateur absolument correct

German\ \ erwartungstreuer Schätzer

Dutch\ \ zuivere schatter

Italian\ \ stimatore non distorto

Spanish\ \ estimador sin bias; estimador insesgado

Catalan\ \ estimador no esbiaixat

Portuguese\ \ estimador centrado; estimador não enviesado; estimador não viciado (bra); estimador não-viesado (bra)

Romanian\ \ -

Danish\ \ central estimator

Norwegian\ \ -

Swedish\ \ väntevärdesriktig estimator

Greek\ \ αμερόληπτος εκτιμητής

Finnish\ \ harhaton estimaattori

Hungarian\ \ torzítatlan becslés

Turkish\ \ tarafsız (yansız) tahminleyici

Estonian\ \ nihketa hinnangufunktsioon

Lithuanian\ \ nepaslinktasis įvertinys

Slovenian\ \ nepristranska cenilka

Polish\ \ estymator nieobciążony

Russian\ \ несмещенная оценка

Ukrainian\ \ незміщена оцінка

Serbian\ \ -

Icelandic\ \ óbjagaður metill; skakkalaus metill; meðalgildisréttur metill; óskekktur metill

Euskara\ \ estimatzaile alboragabea; zenbatesle alboragabe

Farsi\ \ b ravordg re noarib

Persian-Farsi\ \ برآوردگر نااريب

Arabic\ \ مقدرغير متحيزة

Afrikaans\ \ onsydige beramer

Chinese\ \ -

Korean\ \ 비편향추정량

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unbiased estimator — nepaslinktasis įvertis statusas T sritis Standartizacija ir metrologija apibrėžtis Įvertis, kurio poslinkis lygus nuliui. atitikmenys: angl. unbiased estimator rus. несмещенная оценка, f pranc. estimateur sans biais, m … Penkiakalbis aiškinamasis metrologijos terminų žodynas
Minimum-variance unbiased estimator — In statistics a uniformly minimum variance unbiased estimator or minimum variance unbiased estimator (UMVUE or MVUE) is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter. The… … Wikipedia
Estimator — In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… … Wikipedia
Unbiased estimation of standard deviation — In statistics, the standard deviation is often estimated from a random sample drawn from the population. The most common measure used is the sample standard deviation , which is defined by:s = sqrt{frac{1}{n 1} sum {i=1}^n (x i… … Wikipedia
Bias of an estimator — In statistics, the difference between an estimator s expected value and the true value of the parameter being estimated is called the bias. An estimator or decision rule having nonzero bias is said to be biased.Although the term bias sounds… … Wikipedia
Stein's unbiased risk estimate — In statistics, Stein s unbiased risk estimate (SURE) is an unbiased estimator of the mean squared error of a given estimator, in a deterministic estimation scenario. In other words, it provides an indication of the accuracy of a given estimator.… … Wikipedia
Consistent estimator — {T1, T2, T3, …} is a sequence of estimators for parameter θ0, the true value of which is 4. This sequence is consistent: the estimators are getting more and more concentrated near the true value θ0; at the same time, these estimators are biased.… … Wikipedia
Kaplan–Meier estimator — The Kaplan–Meier estimator,[1][2] also known as the product limit estimator, is an estimator for estimating the survival function from life time data. In medical research, it is often used to measure the fraction of patients living for a certain… … Wikipedia
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Watterson estimator — In population genetics, the Watterson estimator is a method for estimating the population mutation rate, heta = 4N emu, where N e is the effective population size and mu is the per generation mutation rate of the population of interest… … Wikipedia
Cramér–Rao bound — In estimation theory and statistics, the Cramér–Rao bound (CRB) or Cramér–Rao lower bound (CRLB), named in honor of Harald Cramér and Calyampudi Radhakrishna Rao who were among the first to derive it,[1][2][3] expresses a lower bound on the… … Wikipedia

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unbiased estimator

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