New Stratified Bayesian Estimators Using Warner’s Randomized Response Technique Through Mixed Priors
No Thumbnail Available
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
JOURNAL OF SCIENTIFIC RESEARCH
Abstract
In this paper, we propose new stratified Bayesian estimators of population proportion of a
sensitive trait by adopting a mixture of alternative beta distributions as quantification of
prior information in a stratified random sampling situation. Data were collected through
Warner’s randomized response technique. To study the performance of the newly
developed stratified estimators, mean squared error and absolute bias were used as
performance criteria. The proposed estimators were compared with the existing one. We
observed that the proposed estimators are more sensitive to responses than the existing one
at various sample sizes respectively
Description
Keywords
Stratified Bayesian estimators; Mixed priors; Population proportion; Randomized response technique; Sensitive trait.