Estimation of the Population Mean by Successive Use of an Auxiliary Variable in Median Ranked Set Sampling
Document Type
Article
Publication Date
10-2-2020
Publication Title
Mathematical Population Studies
Abstract
Median ranked set sampling is a sampling procedure used to estimate the population mean when the variable of interest is difficult or costly to measure. Two estimators for the population mean based on the minimum and maximum values of the auxiliary variable are built upon a successive use of ranks, second raw moments, and the linearly transformed auxiliary variable. The biases and the mean square errors of the estimators are derived. The proposed estimators under median ranked set sampling have higher efficiencies than the ratio, regression, difference-cum-ratio, and exponential estimators.
First Page
176
Last Page
199
Volume
28
Issue
3
Publisher
Taylor and Francis Group
Recommended Citation
Shahzad, Usman; Ahmad, Ishfaq; Oral, Evrim; Hanif, Muhammad; and Almanjahie, Ibrahim M., "Estimation of the Population Mean by Successive Use of an Auxiliary Variable in Median Ranked Set Sampling" (2020). School of Public Health Faculty Publications. 41.
https://digitalscholar.lsuhsc.edu/soph_facpubs/41
10.1080/08898480.2020.1816703