Estimation of a sensitive proportion by Warner’s randomized response data through inverse sampling |
| |
Authors: | Arijit Chaudhuri Mausumi Bose Kajal Dihidar |
| |
Institution: | (1) Directorate General of Mines Safety, 826001 Dhanbad, Jharkhand, India |
| |
Abstract: | It is difficult to obtain trustworthy data on stigmatizing matters like habits of tax evasion, drunken driving, etc., through
direct queries. To overcome this difficulty, Warner introduced randomized response techniques to estimate the proportion of
people bearing such a stigmatizing or sensitive characteristic in a given community. For simplicity in estimation he restricted
to SRSWR and since then, several researchers have extended and applied this technique in various ways. All these results involve
sampling with a pre-fixed number of draws. In this paper we employ inverse sampling with equal probabilities with replacement
and show certain advantages in estimation using randomized response data by Warner’s device gathered through such a simple
inverse sampling scheme. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|