Confidence interval estimation for the population coefficient of variation using ranked set sampling: A simulation study

Ahmed N. Albatineh, B. M.Golam Kibria, Meredith L. Wilcox, Bashar Zogheib

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In this paper, an evaluation of the performance of several confidence interval estimators of the population coefficient of variation (τ) using ranked set sampling compared to simple random sampling is performed. Two performance measures are used to assess the confidence intervals for τ, namely: width and coverage probabilities. Simulated data were generated from normal, log-normal, skew normal, Gamma, and Weibull distributions with specified population parameters so that the same values of τ are obtained for each distribution, with sample sizes n=15, 20, 25, 50, 100. A real data example representing birth weight of 189 newborns is used for illustration and performance comparison.

Original languageEnglish
Pages (from-to)733-751
Number of pages19
JournalJournal of Applied Statistics
Volume41
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • coefficient of variation
  • confidence interval
  • coverage probability
  • ranked set sample
  • simple random sample

Fingerprint

Dive into the research topics of 'Confidence interval estimation for the population coefficient of variation using ranked set sampling: A simulation study'. Together they form a unique fingerprint.

Cite this