A comparison of the maximum likelihood estimators under ranked set sapling some of its modifications

A. B. Shaibu, Hassen A. Muttlak

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper compares the maximum likelihood estimators (MLEs) of the parameters of the location-scale parameter family of distributions, under the methods of ranked set sampling (S.L. Stokes, Annals of the Institute of Statistical Mathematics 47 (3) (1995) 465), median ranked set sampling and extreme ranked set sampling (A.-B Shaibu, H.A. Muttlak, Annals of the Institute of Statistical Mathematics, submitted), and percentile ranked set sampling. Several distributions have been considered and the estimators are compared based on their asymptotic relative precision with respect to the corresponding simple random sample estimators.

Original languageEnglish
Pages (from-to)441-453
Number of pages13
JournalApplied Mathematics and Computation
Volume129
Issue number2-3
DOIs
StatePublished - 10 Jul 2002

Keywords

  • Asymptotic relative precision
  • Extreme ranked set sampling
  • Fisher information
  • Median ranked set sampling
  • Percentile ranked set sampling
  • Simple random sampling

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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