Generalized Exponential Chain Ratio and Chain Product Estimators under Stratified Two-Phase Random Sampling for Non-Response
Aamir Sanaullah, Muhammad Noor‐ul‐Amin, Muhammad Hanif, Cem Kadılar
Abstract
Aamir Sanaullah, Muhammad Noor‐ul‐Amin, Muhammad Hanif, Cem Kadılar
Abstract
In this paper, some generalized exponential chain-ratio and chain-product estimators have been proposed for estimating the finite population mean under the stratified two-phase random sampling method for two different cases under non-response case when information on only secondary auxiliary variable is available. The expressions for the mean square error (MSE) and bias of the suggested class of estimators have been given for two situations of non-response. The suggested class of generalized exponential estimators has been evaluated in theory with the adapted forms of Hansen-Hurwitz, ratio and product estimators to the stratified two-phase sampling method. Two numerical examples have also been given to demonstrate the performances of the estimators.
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In this paper, some generalized exponential chain-ratio and chain-product estimators have been proposed for estimating the finite population mean under the stratified two-phase random sampling method for two different cases under non-response case when information on only secondary auxiliary variable is available. The expressions for the mean square error (MSE) and bias of the suggested class of estimators have been given for two situations of non-response. The suggested class of generalized exponential estimators has been evaluated in theory with the adapted forms of Hansen-Hurwitz, ratio and product estimators to the stratified two-phase sampling method. Two numerical examples have also been given to demonstrate the performances of the estimators.
Key concepts: Estimator, Mathematics, Stratified sampling, Chain (unit), Exponential function, Population mean, Applied mathematics, Statistics