On a Class of Recursive Algorithms for Continuous Estimation of the Mean

In this correspondence a class of algorithms for recursive estimation of the mean of a random yariable is described and its properties are studied. New algorithms are presented that are shown to be statisticaily more efficient than the previous algorithms, and only slightly less efficient than the o...

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Veröffentlicht in:	IEEE transactions on computers 1974-02, Vol.C-23 (2), p.191-194
Hauptverfasser:	Aminoff, C.G., Ojala, L., Rautanen, E.T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation algorithms Attenuation Averaging Digital arithmetic Estimation Indexes Random variables Recursive estimation
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container_title	IEEE transactions on computers
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creator	Aminoff, C.G. Ojala, L. Rautanen, E.T.
description	In this correspondence a class of algorithms for recursive estimation of the mean of a random yariable is described and its properties are studied. New algorithms are presented that are shown to be statisticaily more efficient than the previous algorithms, and only slightly less efficient than the optimal algorithm of the same type. The computation time remains the same as in the best previous algorithm, whereas the optimal algorithm implies a considerably longer computation time.
doi_str_mv	10.1109/T-C.1974.223886
format	Article
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New algorithms are presented that are shown to be statisticaily more efficient than the previous algorithms, and only slightly less efficient than the optimal algorithm of the same type. The computation time remains the same as in the best previous algorithm, whereas the optimal algorithm implies a considerably longer computation time.</abstract><pub>IEEE</pub><doi>10.1109/T-C.1974.223886</doi><tpages>4</tpages></addata></record>
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subjects	Approximation algorithms Attenuation Averaging Digital arithmetic Estimation Indexes Random variables Recursive estimation
title	On a Class of Recursive Algorithms for Continuous Estimation of the Mean
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