Lehmann-Scheffé theorem

Lehmann-Scheffé theorem: French\ \ théorème de Lehmann-Scheffé

German\ \ Satz von Lehmann-Scheffé

Dutch\ \ Lehmann-Scheffé theorema

Italian\ \ teorema di Lehmann-Scheffé

Spanish\ \ teorema de Lehmann-Scheffé

Catalan\ \ teorema de Lehmann-Scheffé

Portuguese\ \ teorema de Lehman-Scheffé

Romanian\ \ teorema lui Lehmann-Scheffé

Danish\ \ Lehmann-Scheffés sætning

Norwegian\ \ Lehmann-Scheffés teorem

Swedish\ \ Lehmann-Scheffésats

Greek\ \ θεώρημα των Lehmann-Scheffé

Finnish\ \ Lehmannin-Scheffén teoreema

Hungarian\ \ -

Turkish\ \ Lehmann-Scheffé teoremi (önermesi)

Estonian\ \ -

Lithuanian\ \ -

Slovenian\ \ Lehmann-Schefféov izrek

Polish\ \ -

Russian\ \ теорема Лехманна-Шеффе

Ukrainian\ \ -

Serbian\ \ -

Icelandic\ \ Lehmann-Scheffé setningin

Euskara\ \ Lehmann-Scheffé-ren teorema

Farsi\ \ -

Persian-Farsi\ \ قضيه لي‌من-شفه

Arabic\ \ نظرية ليمان - شفي

Afrikaans\ \ Lehmann-Scheffé-stelling

Chinese\ \ -

Korean\ \ 레만-쉐페 정리

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Lehmann–Scheffé theorem — In statistics, the Lehmann–Scheffé theorem, named after Erich Leo Lehmann and Henry Scheffé, states that any unbiased estimator based only on a complete, sufficient statistic is the unique best unbiased estimator of its expected value. The… … Wikipedia
Lehmann — is a common Germanic surname derived from the German word Lehen , meaning fiefdom. Some Jewish Lehmann families state that the origin of their name is from the German words for Lion Man (i.e. from Yehuda the tribe of the lion). It may refer to: * … Wikipedia
Rao–Blackwell theorem — In statistics, the Rao–Blackwell theorem is a result which characterizes the transformation of an arbitrarily crude estimator into an estimator that is optimal by the mean squared error criterion or any of a variety of similar criteria. The Rao… … Wikipedia
Erich Leo Lehmann — (born 19 November 1917), a statistician, contributed to statistical and nonparametric hypothesis testing. He is one of the eponyms of the Lehmann–Scheffé theorem.Lehmann obtained his MA in 1942 and his PhD in 1946, at the University of California … Wikipedia
Completeness (statistics) — In statistics, completeness is a property of a statistic in relation to a model for a set of observed data. In essence, it is a condition which ensures that the parameters of the probability distribution representing the model can all be… … Wikipedia
Sufficient statistic — In statistics, a sufficient statistic is a statistic which has the property of sufficiency with respect to a statistical model and its associated unknown parameter, meaning that no other statistic which can be calculated from the same sample… … 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
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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
List of theorems — This is a list of theorems, by Wikipedia page. See also *list of fundamental theorems *list of lemmas *list of conjectures *list of inequalities *list of mathematical proofs *list of misnamed theorems *Existence theorem *Classification of finite… … Wikipedia
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Lehmann-Scheffé theorem

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