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 |
|---|---|
| Pages (from-to) | 368-389 |
| Number of pages | 22 |
| Journal | Statistics, Optimization Information Computing |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| State | Published - Dec 22 2022 |
Scopus Subject Areas
- Signal Processing
- Statistics and Probability
- Information Systems
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Control and Optimization
- Artificial Intelligence
Disciplines
- Biostatistics
- Epidemiology
Keywords
- Cochran Mantel-Haenszel odds ratio
- Kernel estimation
- Odds ratio
- Stratified ranked set sampling
- Stratified simple random sampling