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Efficient Wald-Type Estimators for Simple Linear Measurement Error Model

, Amjad D Al-Nasser, Enrico Ciavolino
Published in
2008
Volume: 1
   
Issue: 1
Pages: 305 - 308
Abstract

In this paper, Wald-type estimators for simple linear measurement error model presented based on L Ranked Set Sampling (LRSS) technique. The proposed estimators are compared to their counterparts based on Simple Random Sampling (SRS) and Ranked Set Sampling (RSS). It appears that the suggested estimators are more efficient. A real data set of student achievements is studied, a simulated data also is used to show how much efficient the use of the ranked data to estimate the EIV model parameter.

About the journal
JournalMTISD 2008. Methods, Models and Information Technologies for Decision Support Systems
Open AccessNo