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Improvement in Estimating the Population Median in Simple Random Sampling and Stratified Random Sampling Using Auxiliary Information
Authors:Sibel Aladag  Hulya Cingi
Affiliation:1. Republic of Turkey Social Security Institution, General Director of Service Provision, Ankara, Turkeysaladag@sgk.gov.tr;3. Department of Statistics, Hacettepe University, Ankara, Turkey
Abstract:
This paper deals with estimation of population median in simple and stratified random samplings by using auxiliary information. Auxiliary information is rarely used in estimating population median, although there have been many studies to estimate population mean using auxiliary information. In this study, we suggest some estimators using auxiliary information such as mode and range of an auxiliary variable and correlation coefficient. We also expand these estimators to stratified random sampling for combined and separate estimators. We obtain mean square error equations for all proposed estimators and find theoretical conditions. These conditions are also supported by using numerical examples.
Keywords:Auxiliary information  Mean square error  Median estimation  Ratio estimator  Simple random sampling  Stratified random sampling
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