Abstract
In this paper, stratified median ranked set sampling (SMRSS) method is suggested for estimating the population mean. The SMRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SMRSS estimator is an unbiased of the population mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS.
| Original language | English |
|---|---|
| Pages (from-to) | 2341-2354 |
| Number of pages | 14 |
| Journal | Applied Mathematical Sciences |
| Volume | 4 |
| Issue number | 45-48 |
| Publication status | Published - 2010 |
| Externally published | Yes |
Keywords
- Efficiency
- Median ranked set sampling
- Ranked set sampling
- Simple random sampling
- Stratified
ASJC Scopus subject areas
- Applied Mathematics