near-efficient estimator

near-efficient estimator
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The English-Russian dictionary on reliability and quality control. 2015.

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  • Redescending M-estimator — Redescending M estimators are very popular Ψ type M estimators which have Ψ functions that are non decreasing near the origin, but decreasing toward 0 far from the origin. Their ψ functions can be chosen to redescend smoothly to zero, so that… …   Wikipedia

  • Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements …   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

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  • Globular cluster — s from the Sun and contains hundreds of thousands of stars. [cite news coauthors =The Hubble Heritage team url = http://hubblesite.org/newscenter/newsdesk/archive/releases/1999/26/ title = Hubble Images a Swarm of Ancient Stars work = HubbleSite… …   Wikipedia

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  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Diversity index — A diversity index is a statistic which is intended to measure the local members of a set consisting of various types of objects. Diversity indices can be used in many fields of study to assess the diversity of any population in which each member… …   Wikipedia

  • Nearest neighbor search — (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. The problem is: given a set S of points in a metric space M and a query point… …   Wikipedia

  • Dynamic game difficulty balancing — Dynamic game difficulty balancing, also known as dynamic difficulty adjustment (DDA) or dynamic game balancing (DGB), is the process of automatically changing parameters, scenarios and behaviors in a video game in real time, based on the player s …   Wikipedia


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