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2021•International Journal of Mathematics & Statistics/International journal of mathematics and statisticsRequires access

New Chain Estimators for Finite Population Mean Under Stratified Two-Phase Sampling

Housila P. Singh, Pragati Nigam

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Abstract

In this paper, for estimating the population mean (PM) we have propounded some chain ratio-product-type (RPT) estimators and chain ratio-product-type exponential (RPTE) estimators along with their generalized versions. Properties of the developed estimators are studied up to first order of approximation (foa). Comparisons are also made among all the considered estimators. To support the present research work, an empirical study is also performed.

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What this paper is about

In this paper, for estimating the population mean (PM) we have propounded some chain ratio-product-type (RPT) estimators and chain ratio-product-type exponential (RPTE) estimators along with their generalized versions. Properties of the developed estimators are studied up to first order of approximation (foa). Comparisons are also made among all the considered estimators. To support the present research work, an empirical study is also performed.

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Available abstract

In this paper, for estimating the population mean (PM) we have propounded some chain ratio-product-type (RPT) estimators and chain ratio-product-type exponential (RPTE) estimators along with their generalized versions. Properties of the developed estimators are studied up to first order of approximation (foa). Comparisons are also made among all the considered estimators. To support the present research work, an empirical study is also performed.

Key concepts: Estimator, Mathematics, Population mean, Chain (unit), Stratified sampling, Statistics, Extremum estimator, Population

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