文章基本信息

标题：MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES
本地全文：下载
作者：Kumari Priyanka ; Pidugu Trisandhya
期刊名称：Statistics in Transition
印刷版ISSN：1234-7655
电子版ISSN：2450-0291
出版年度：2019
卷号：20
期号：1
页码：41-65
DOI：10.21307/stattrans-2019-003
出版社：Exeley Inc.
摘要：This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modiﬁed to work for sensitive population mean estimation. The modiﬁed estimators became the members of proposed general class of estimators. The detail properties of all the estimators have been discussed. Their behaviour under randomized and scrambled response techniques have been elaborated. Numerical illustrations including simulation have been accompanied to judge the performance of different estimators.Finally suitable recommendations are forwarded.
关键词：Sensitive variable; Successive waves; Scrambled Response model; Class of estimators; Population mean; Bias; Mean squared error; Optimum matching fraction