Estimation of normal variance based on balanced and unbalanced ranked set samples

Leung Ho Philip YU, Kin LAM, Bimal K. SINHA

Research output: Contribution to journalArticles

18 Citations (Scopus)

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 languageEnglish
Pages (from-to)23-46
JournalEnvironmental and Ecological Statistics
Volume6
Issue number1
DOIs
Publication statusPublished - 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:1009687332668

Keywords

  • Normal distribution
  • Ranked set sample
  • Simple random sample
  • Unequal allocation
  • Variance

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