2012•Pakistan Journal of Statistics and Operation ResearchOpen access

Improved Estimators of Population Mean Using Two Auxiliary Variables in Stratified random Sampling

Rajesh Singh, Mukesh Kumar

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Abstract

An exponential family of estimators, which use the information of two auxiliary variables in the stratified sampling, is proposed to estimate the population mean of the variable under study. The mean-squared error of the suggested family of estimators are derived under large sample approximation. The family of estimators in its optimum case is carried out to show the properties of the proposed estimators.

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An exponential family of estimators, which use the information of two auxiliary variables in the stratified sampling, is proposed to estimate the population mean of the variable under study. The mean-squared error of the suggested family of estimators are derived under large sample approximation. The family of estimators in its optimum case is carried out to show the properties of the proposed estimators.

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Available abstract

An exponential family of estimators, which use the information of two auxiliary variables in the stratified sampling, is proposed to estimate the population mean of the variable under study. The mean-squared error of the suggested family of estimators are derived under large sample approximation. The family of estimators in its optimum case is carried out to show the properties of the proposed estimators.

Key concepts: Mathematics, Estimator, Stratified sampling, Population mean, Statistics, Mean squared error, Exponential family, Simple random sample

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