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Using the studentized range to assess kurtosis.
- Source :
- Journal of Applied Statistics; Apr2005, Vol. 32 Issue 3, p271-280, 10p
- Publication Year :
- 2005
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- STATISTICS
FORECASTING
MATHEMATICS
QUANTITATIVE research
ECONOMICS
Subjects
Details
- Language :
- English
- ISSN :
- 02664763
- Volume :
- 32
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 17210460
- Full Text :
- https://doi.org/10.1080/02664760500054632