admissible estimator

admissible estimator
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English-russian dctionary of contemporary Economics. 2014.

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  • 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

  • James-Stein estimator — The James Stein estimator is a nonlinear estimator which can be shown to dominate, or outperform, the ordinary (least squares) technique. As such, it is the best known example of Stein s phenomenon.An earlier version of the estimator was… …   Wikipedia

  • Minimax estimator — In statistical decision theory, where we are faced with the problem of estimating a deterministic parameter (vector) from observations an estimator (estimation rule) is called minimax if its maximal risk is minimal among all estimators of . In a… …   Wikipedia

  • Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… …   Wikipedia

  • List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia

  • Stein's example — Stein s example, sometimes referred to as Stein s phenomenon or Stein s paradox, is a surprising effect observed in decision theory and estimation theory. Simply stated, the example demonstrates that when three or more parameters are estimated… …   Wikipedia

  • Decision rule — This article is about decision theory. For the use in computer science, see decision rules. In decision theory, a decision rule is a function which maps an observation to an appropriate action. Decision rules play an important role in the theory… …   Wikipedia

  • Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

  • Нерешённые проблемы статистики — Существует множество давнишних открытых проблем математики, для которых решение всё ещё не найдено. Открытые проблемы статистики, в общем случае, имеют другой характер: согласно Джону Тьюки[1] трудности в идентификации проблем значительно более… …   Википедия

  • Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

  • Stefan Ralescu — Ştefan S. Ralescu (b. 1952 in Bucharest, Romania) is a leading statistician who has made significant contributionsFact|date=March 2007 to the theory of statistical inference, mainly through asymptotic theory. He is a professor of mathematics and… …   Wikipedia


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