Abstract
In this paper we address the problem of estimation of the variance of a normal population based on a balanced as well as an unbalanced ranked set sample (RSS), which is a modification of the original RSS of McIntyre (1952).We have proposed several methods of estimation of variance by combining different unbiased between and within estimators, and compared their performances. Copyright © 1999 Kluwer Academic Publishers.
| Original language | English |
|---|---|
| Pages (from-to) | 23-46 |
| Journal | Environmental and Ecological Statistics |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1999 |
Citation
Yu, P. L. H., Lam, K., & Sinha, B. K. (1999). Estimation of normal variance based on balanced and unbalanced ranked set samples. Environmental and Ecological Statistics, 6(1), 23-46. doi: 10.1023/A:1009687332668Keywords
- Normal distribution
- Ranked set sample
- Simple random sample
- Unequal allocation
- Variance