About: A comparison of methods for selecting values of simulation input variables

Documentation

scienceplus.abes.fr version Bêta

scienceplus.abes.fr | explorer

À propos de : A comparison of methods for selecting values of simulation input variables Goto Sponge NotDistinct Permalink

Attributs	Valeurs
type	work Article
Is Part Of	http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/w
Subject	estimation simulation Simulation Sampling theory, sample surveys Estimation Monte Carlo methods Sampling variance
Title	A comparison of methods for selecting values of simulation input variables
Date	2015-01-01(xsd:dateTime)
has manifestation of work	http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/ps140020/m/print http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/ps140020/m/web
related by	http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/ps140020/authorship/1 http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/ps140020/authorship/2
Author	Ourbih-Tari, Megdouda Guebli, Sofia
Abstract	Refined descriptive sampling (RDS) is a method of sampling that can be used to produce input values for estimation of expectation of functions of output variables. This paper gives a generalization of RDS method for K input variables. An estimator of RDS is defined and shown to be unbiased and efficient compared to simple random sampling with respect to variance criterion for a class of estimators. The efficiency of RDS algorithm is discussed at the end of the paper.
article type	research-article
publisher identifier	ps140020
Date Copyrighted	2015-01-01(xsd:dateTime)
Rights	© EDP Sciences, SMAI, 2015
Rights Holder	EDP Sciences, SMAI
is part of this journal	ESAIM: Probability and Statistics
is primary topic of	http://hub.abes.fr/edp/periodical/ps/2015/volume_19/issue_2015/ps140020/w/record

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata