On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

Abbas Eftekharian; Hani Samawi; Haresh Rochani

On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

Abbas Eftekharian, Hani Samawi, Haresh Rochani

Biostatistics, Epidemiology & Environmental Health Sciences

University of Hormozgan

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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.

Original language	American English
Journal	Statistics, Optimization Information Computing
Volume	11
State	Published - Dec 22 2022

Disciplines

Biostatistics
Epidemiology

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On Kernel-Based Estimator of Odds Ratio Using Different StratifieFinal published version, 292 KBLicense: CC BY
On Kernel-Based Estimator of Odds Ratio Using Different StratifieFinal published version, 292 KBLicense: CC BY

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title = "On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes",

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.",

author = "Abbas Eftekharian and Hani Samawi and Haresh Rochani",

year = "2022",

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T1 - On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

AU - Eftekharian, Abbas

AU - Samawi, Hani

AU - Rochani, Haresh

PY - 2022/12/22

Y1 - 2022/12/22

N2 - 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.

AB - 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.

UR - https://digitalcommons.georgiasouthern.edu/bee-facpubs/368

M3 - Article

VL - 11

JO - Statistics, Optimization Information Computing

JF - Statistics, Optimization Information Computing

ER -

On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

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