New Stratified Bayesian Estimators Using Warner’s Randomized Response Technique Through Mixed Priors

Simple item page
dc.contributor.authorAdepetun, A. O.
dc.contributor.authorAdewara, A. A.
dc.date.accessioned2023-06-13T10:02:06Z
dc.date.available2023-06-13T10:02:06Z
dc.date.issued2018
dc.description.abstractIn 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 respectivelyen_US
dc.identifier.issn2070-0237
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11121
dc.language.isoenen_US
dc.publisherJOURNAL OF SCIENTIFIC RESEARCHen_US
dc.subjectStratified Bayesian estimators; Mixed priors; Population proportion; Randomized response technique; Sensitive trait.en_US
dc.titleNew Stratified Bayesian Estimators Using Warner’s Randomized Response Technique Through Mixed Priorsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
New Stratified Bayesian Estimators Using Warner’s Randomized Response Technique Through Mixed Priors.pdf
Size:
454.33 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections