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Two new confidence intervals for the coefficient of variation in a normal distribution

Author

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  • Rahim Mahmoudvand
  • Hossein Hassani

Abstract

In this article we introduce an approximately unbiased estimator for the population coefficient of variation, τ, in a normal distribution. The accuracy of this estimator is examined by several criteria. Using this estimator and its variance, two approximate confidence intervals for τ are introduced. The performance of the new confidence intervals is compared to those obtained by current methods.

Suggested Citation

  • Rahim Mahmoudvand & Hossein Hassani, 2009. "Two new confidence intervals for the coefficient of variation in a normal distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(4), pages 429-442.
    • Handle: RePEc:taf:japsta:v:36:y:2009:i:4:p:429-442
    DOI: 10.1080/02664760802474249
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    Cited by:

    1. Sami El-Mahgary & Petri Rönnholm & Hannu Hyyppä & Henrik Haggrén & Jenni Koponen, 2014. "Evaluating the performance of university course units using data envelopment analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-20, December.
    2. Ahmed N Albatineh & B.M. Golam Kibria & Meredith L Wilcox & Bashar Zogheib, 2014. "Confidence interval estimation for the population coefficient of variation using ranked set sampling: a simulation study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(4), pages 733-751, April.

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