文章基本信息

标题：Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study
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作者：Piyush Kant Rai ; Alka Singh ; Muhammad Qasim 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2020
卷号：19
期号：1
语种：English
出版社：Wayne State University
摘要：This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented. The calibrated weights based on different distance functions are also derived. A simulation study has been carried out to judge the performance of the proposed estimators based on the minimum relative root mean squared error criterion. A real-life data set is also used to confirm the supremacy of the proposed method.