A New Exponential Factor-Type Estimator for Population Distribution Function Using Dual Auxiliary Variables under Stratified Random Sampling

Anum Iftikhar; Shi Hongbo; Sardar HussainSajid KhanBadr AlnssyanJavid ShabbirSohaib AhmadMuhammad AamirSaima K Khosa

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A New Exponential Factor-Type Estimator for Population Distribution Function Using Dual Auxiliary Variables under Stratified Random Sampling

机译：A New Exponential Factor-Type Estimator for Population Distribution Function Using Dual Auxiliary Variables under Stratified Random Sampling

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摘要

In this paper, we propose a generalized class of exponential-type estimators for estimating the finite population distribution function using dual auxiliary variables under stratified sampling. The biases and mean squared errors (MSEs) of the proposed class of estimators are derived up to the first order of approximation. The empirical and theoretical study of comparisons is discussed. Four populations are taken for the support of the theoretical findings. It is observed that the proposed class of estimators performs better as compared to all other considered estimators in stratified sampling.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2022年第20期|1.1-1.14|共14页
作者
Anum Iftikhar; Shi Hongbo; Sardar HussainSajid KhanBadr AlnssyanJavid ShabbirSohaib AhmadMuhammad AamirSaima K Khosa;
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School of Statistics Shanxi University of Finance and Economics Taiyuan;

Department of Statistics Quaid-i-Azam University Islamabad;

Department of Management Sciences University of Swabi SwabiDepartment of Administrative Sciences and Humanities Collage of Community at Buraydah, Qassim University Buraydah 51452Department of Statistics Abdul Wali Khan University Mardan;

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A New Exponential Factor-Type Estimator for Population Distribution Function Using Dual Auxiliary Variables under Stratified Random Sampling

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