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The Grouping Methods and Rank Estimator, Based on Ranked Set sampling, for the linear Error in Variable Models

Published in
2016
Volume: 2
   
Issue: 7
Pages: 96 - 106
Abstract

The methods of estimating the parameters of Error-In-Variables (EIV) models were extremely discussed in the literature. Wald (1940), Bartlett (1942) and others started the discussion in this area as well as Madansky (1959). In this paper the ranked set sampling method is used to choose a sample and analyze it using EIV model in order to estimate the parameters. The estimations are made by using the grouping methods and the ranked estimator. Moreover a simulation study has been applied in order to compare these methods.

About the journal
JournalInternational Journal of Scientific Engineering and Applied Science (IJSEAS)
Open AccessNo