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Statistics, Optimization & Information Computing


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.


Georgia Southern University faculty member, Hani Samawi and Haresh Rochani co-authored On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes.


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Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.