biased estimator

biased estimator: French\ \ estimateur biaisé; estimateur avec erreur systématique

German\ \ verzerrter Schätzer

Dutch\ \ onzuivere schatter

Italian\ \ estimatore affetto da errore sistematico; stimatori distorti

Spanish\ \ estimador con bias; estimador sesgado

Catalan\ \ estimador esbiaixat

Portuguese\ \ estimador enviesado; estimador viciado (bra); estimador viesado (bra)

Romanian\ \ -

Danish\ \ skæv estimator; forventningsskæv estimator

Norwegian\ \ partisk estimatoren

Swedish\ \ estimator med bias; icke-väntevärdesriktig estimator

Greek\ \ μεροληπτικός εκτιμητής

Finnish\ \ harhainen estimaattori

Hungarian\ \ torzított becslés

Turkish\ \ yanlı tahminleyici

Estonian\ \ nihkega hinnangufunktsioon

Lithuanian\ \ paslinktasis įvertinys

Slovenian\ \ pristranska cenilka

Polish\ \ estymator obciążony

Russian\ \ оценка смещенная

Ukrainian\ \ зміщена оцінка; упереджений оцінювач

Serbian\ \ пристрасна оцена

Icelandic\ \ bjagað metill; skakkt metill; skekkt metill

Euskara\ \ estimatzaile alboratu; zenbatesle alboratu

Farsi\ \ baravordyabe orib

Persian-Farsi\ \ برآوردگر اريب

Arabic\ \ مقدر متحيز

Afrikaans\ \ sydige beramer

Chinese\ \ 有偏估计量

Korean\ \ 편향추정량

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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
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
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
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
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
M-estimator — In statistics, M estimators are a broad class of statistics which are obtained as the solution to the problem of minimizing certain functions of the data. The process of obtaining an M estimator is called M estimation.Some authors define M… … Wikipedia
Importance sampling — In statistics, importance sampling is a general technique for estimating the properties of a particular distribution, while only having samples generated from a different distribution rather than the distribution of interest. Depending on the… … 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
Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
German tank problem — During World War II, production of German tanks such as the Panther was accurately estimated by Allied intelligence using statistical methods. In the statistical theory of estimation, estimating the maximum of a uniform distribution is a common… … Wikipedia

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biased estimator

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