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2012•Pakistan Journal of Statistics and Operation ResearchOpen access

Estimation of Finite Population Mean in Stratified Random Sampling Using Auxiliary Attribute(s) under Non-Response

Javid Shabbir, Aneela Sagir

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Abstract

In this paper we propose a combined exponential ratio type estimator of finite population mean utilizing information on the auxiliary attribute(s) under non-response. Expressions for bias and MSE of the proposed estimator are derived up to first order of approximation. An empirical study is carried out to observe the performances of the estimators.

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In this paper we propose a combined exponential ratio type estimator of finite population mean utilizing information on the auxiliary attribute(s) under non-response. Expressions for bias and MSE of the proposed estimator are derived up to first order of approximation. An empirical study is carried out to observe the performances of the estimators.

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Available abstract

In this paper we propose a combined exponential ratio type estimator of finite population mean utilizing information on the auxiliary attribute(s) under non-response. Expressions for bias and MSE of the proposed estimator are derived up to first order of approximation. An empirical study is carried out to observe the performances of the estimators.

Key concepts: Mathematics, Estimator, Population mean, Stratified sampling, Ratio estimator, Applied mathematics, Mean squared error, Statistics

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