Using the studentized range to assess kurtosis

Ronald Tracy and David Doane

Journal of Applied Statistics, 2005, vol. 32, issue 3, 271-280

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.

Keywords: EDA; Studentized range; kurtosis; skewness; normality (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (1)

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DOI: 10.1080/02664760500054632

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