
A Two Parameter Ratio-Product-Ratio Estimator in Post Stratification
Author(s) -
Housila P. Singh,
Pragati Nigam
Publication year - 2022
Publication title -
pakistan journal of statistics and operation research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.354
H-Index - 15
eISSN - 2220-5810
pISSN - 1816-2711
DOI - 10.18187/pjsor.v18i1.3507
Subject(s) - mathematics , estimator , mean squared error , ratio estimator , statistics , efficient estimator , consistent estimator , minimum variance unbiased estimator , bias of an estimator , population mean , trimmed estimator
In this paper we consider a two parameter ratio-product-ratio estimator for estimating population mean in case of post stratification following the estimator due to Chami et al (2012). The bias and mean squared error of proposed estimator are obtained to the first degree of approximation. We derive conditions under which the proposed estimator has smaller mean squared error than the sample mean , ratio estimator and product estimators . Empirical studies gives insight on the magnitude of the efficiency of the estimator developed.