Article
On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes
Statistics, Optimization & Information Computing
Document Type
Article
Publication Date
12-22-2022
Disciplines
Abstract
The kernel-based estimator of Cochran Mantel-Haenszel odds ratio based on stratified simple and ranked set sampling is proposed. The expectation and variance of the estimator are analytically obtained. Using a simulation study, the estimator based on stratified ranked set sampling is more efficient than its counterpart based on stratified simple random sampling. Finally, the estimator's performance is investigated by using base deficit data.
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Creative Commons License
Creative Commons Attribution 3.0
Citation Information
Abbas Eftekharian, Hani Samawi and Haresh Rochani. "On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes" Statistics, Optimization & Information Computing Vol. 11 Iss. 2 (2022) p. 368 - 389 Available at: http://works.bepress.com/hani_samawi/301/
Georgia Southern University faculty member, Hani Samawi and Haresh Rochani co-authored On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes.