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2017•Journal of Reliability and Statistical StudiesRequires access

ESTIMATION OF POPULATION MEAN USING TWO AUXILIARY VARIABLES IN STRATIFIED RANDOM SAMPLING

Madhulika Mishra, Brijesh Pratap Singh, Rajesh Singh

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Abstract

This article discusses the problem of estimation of population mean in stratified sampling using information on two auxiliary variables. The expressions for the mean square error of the proposed estimator have been derived up to the first order of approximation and are compared with the existing estimators. Also, an empirical study has been carried out in order to show that the proposed estimator turns out to be more efficient than the existing estimators and for this we have considered real data sets.

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What this paper is about

This article discusses the problem of estimation of population mean in stratified sampling using information on two auxiliary variables. The expressions for the mean square error of the proposed estimator have been derived up to the first order of approximation and are compared with the existing estimators. Also, an empirical study has been carried out in order to show that the proposed estimator turns out to be more efficient than the existing estimators and for this we have considered real data sets.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This article discusses the problem of estimation of population mean in stratified sampling using information on two auxiliary variables. The expressions for the mean square error of the proposed estimator have been derived up to the first order of approximation and are compared with the existing estimators. Also, an empirical study has been carried out in order to show that the proposed estimator turns out to be more efficient than the existing estimators and for this we have considered real data sets.

Key concepts: Estimator, Stratified sampling, Population mean, Statistics, Mathematics, Mean squared error, Simple random sample, Sampling (signal processing)

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