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Using the studentized range to assess kurtosis

Author

Listed:
  • Ronald Tracy
  • David Doane

Abstract

Because it is easy to compute from three common statistics (minimum, maximum, standard deviation) the studentized range is a useful test for non-normality when the original data are unavailable. For samples from symmetric populations, the studentized range allows an assessment of kurtosis with Type I and II error rates similar to those obtained from the moment coefficients.

Suggested Citation

  • Ronald Tracy & David Doane, 2005. "Using the studentized range to assess kurtosis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(3), pages 271-280.
    • Handle: RePEc:taf:japsta:v:32:y:2005:i:3:p:271-280
    DOI: 10.1080/02664760500054632
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    Cited by:

    1. Perloff, Jeffrey M. & Schlenker, Wolfram & Sears, Molly & Wu, Ximing, 2020. "Crop Failures from Temperature and Precipitation Shocks: Implications for U.S. Crop Insurance," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304540, Agricultural and Applied Economics Association.

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