Computing the population mean on the use of auxiliary information under ranked set sampling

Some Estimators for the Population Mean Using Auxiliary Information Under Ranked Set Sampling

Design Based Estimation of Finite Population Mean in Ranked Set Sampling

Abstract. This Article introduce method of ranked set sampling with replacement (RSSWR) in finite population and express how to computing samples of inclusion probability for this method. The Horvitz-Thompson and Hansen-Hurwtz estimators using auxiliary variables introduce for this design and use 2011-12 Urban Households Income and Income and Expenditure survey data, gathered for Tehran by stat...

Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response

An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling

In this paper, we propose a class of estimators for estimating the finite population mean of the study variable under Ranked Set Sampling (RSS) when population mean of the auxiliary variable is known. The bias and Mean Squared Error (MSE) of the proposed class of estimators are obtained to first degree of approximation. It is identified that the proposed class of estimators is more efficient as...

Some estimators for a finite population mean under two-stage sampling using multivariate auxiliary information

In this paper, we have derived difference, regression and predictor estimators for two-stage sampling with unequal first-stage units using multivariate auxiliary information. The mean square error of these estimators have been derived. A numerical illustration is given for finding the relative comparisons. 2003 Elsevier Inc. All rights reserved.