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Some Exponential Type Predictive Estimators of Finite Population Mean in Two-Phase Sampling
Author(s) -
Asifa Kamal,
Nimra Amir,
Huma Dastagir
Publication year - 2020
Publication title -
statistics, computing and interdisciplinary research
Language(s) - English
Resource type - Journals
eISSN - 2788-7464
pISSN - 2707-7101
DOI - 10.52700/scir.v2i1.10
Subject(s) - estimator , mathematics , exponential function , mean squared error , exponential type , statistics , ratio estimator , population mean , population , sampling (signal processing) , efficient estimator , computer science , minimum variance unbiased estimator , mathematical analysis , demography , filter (signal processing) , sociology , computer vision
This study is designed for predictive estimation of finite population mean in two phase sampling using two auxiliary variables. Two phase exponential ratio type estimator and exponential chain ratio type estimator are proposed under predictive approach suggested by Bahl & Tuteja (1991). The expressions of bias and mean square error of both suggested estimators have been carried out for theoretical comparison. The numerical study on real life data sets as well as simulation study has been conducted to examine the performance of suggested estimators. Finally, it is demonstrated that the suggested exponential ratio estimators are more efficient than competitive estimators in support of numerical and simulation study as well.

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