Estimation of Rare Sensitive Parameter Under Poisson Approximation Using Stratified Three Stage Randomized Response Model

Abstract

This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling for known population using Poisson distribution. The properties of the suggested estimation procedures are deeply examined. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimators over well-known existing estimators. The results are interpreted and suitable recommendations have been put forward to the survey practitioners.

Transforming Decision-Making: A Three-Phase Deployment of an Intuitionistic Fuzzy Environment

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