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Ratio estimators using stratified random sampling and stratified ranked set sampling

  • Monika SainiEmail author
  • Ashish Kumar
Original Research
  • 37 Downloads

Abstract

The aim of present study is to propose ratio estimators for the population mean using auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked set sampling (SRSS). Here, bias and mean square error (MSE) for the proposed estimators have been obtained and find that the proposed estimator under SRSS is more efficient than the estimator under SRS. The results have been illustrated numerically through simulation study.

Keywords

Finite population Stratified random sampling Stratified ranked set sampling Auxiliary variable Ratio estimator Efficiency 

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Copyright information

© Society for Reliability and Safety (SRESA) 2018

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsManipal University JaipurJaipurIndia

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