Abstract
An unbalanced ranked set sampling (RSS) procedure on the skewed survey variable is proposed to estimate the population mean of a response variable from the area of developmental programs which are generally implemented under different phases. It is based on the unbalanced RSS under linear impacts of the program and is compared with the estimators based on simple random sampling (SRS) and balanced RSS. It is shown that the relative precision of the proposed estimator is higher than those of the estimators based on SRS and balanced RSS for three chosen skewed distributions of survey variables.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | Journal of Modern Applied Statistical Methods |
| Volume | 17 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2018 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- Impact factor
- Weibull distribution
- gamma distribution
- lognormal distribution
- ranked set sampling
- relative precision
- response variable
- skew distribution
- survey variable
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