Estimation of Normal Variance Based on Balanced and Unbalanced Ranked Set Samples |
| |
| Authors: | Philip L.H. Yu Kin Lam Bi Mal K. Sinha |
| |
| Affiliation: | (1) Department of Statistics, The University of Hong Kong, Hong Kong;(2) Department of Math/Statistics, University of Maryland Baltimore County, Baltimor, Maryland, USA |
| |
| 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 |
| |
| Keywords: | Normal distribution ranked set sample simple random sample unequal allocation |
| 本文献已被 SpringerLink 等数据库收录！ |
