×

A proposal of new disnormality indexes. (English) Zbl 07706295

Summary: In this paper, well known disnormality or kurtosis indexes are decomposed into contributions to the measure of disnormality of the center, sides and tails of distributions. The results of this study confirm that the above indexes measure mainly the length and thickness of distribution tails at the expense of the distribution center, which may be more or less peaked or flat. The nature of this decomposition suggests the adoption of new and more appropriate measures of disnormality to capture the various forms in which disnormality occurs. The purpose is to put forward new indexes which are able to measure the aspects of disnormality more appropriately. The proposed indexes are less biased when compared to the structure of well-known indexes and are able to value not only the tail characteristics of distributions, but also those of the sides and the center.

MSC:

62-XX Statistics
Full Text: DOI

References:

[1] Balanda, K. P.; MacGillivray, H. L., Kurtosis and spread, Canadian Journal of Statistics, 18, 1, 17-30 (1990) · doi:10.2307/3315414
[2] Campobasso, F., Influence function approach to sensitiveness of kurtosis indexes (2007)
[3] Darlington, R. B., Is kurtosis really peakedness?, The American Statistician, 224, 2, 19-22 (1970)
[4] D’Uggento, A. M.; Girone, G.; Marin, C., The ratio between the mean difference and the mean deviation in 11 continuous distribution models, Quality & Quantity, 51, 2, 595-615 (2017) · doi:10.1007/s11135-016-0427-x
[5] Finucan, H. M., A note on kurtosis, Journal of the Royal Statistical Society: Series B, 26, 1, 111-12 (1964) · Zbl 0122.14101
[6] Fiori, A. M., Measuring kurtosis by right and left inequality orders, Communication in Statistics - Theory and Methods, 37, 17, 2666-80 (2008) · Zbl 1147.62013
[7] Fiori, A. M.; Zenga, M., The meaning of kurtosis, the influence function and an early intuition by L. Faleschini, Statistica, 65, 2 (2005) · Zbl 1188.62106 · doi:10.6092/issn.1973-2201/82
[8] Geary, R. C., The ratio of the mean deviation to the standard deviation as a test of normality, Biometrika, 27, 3-4, 310-32 (1935) · Zbl 0013.02904 · doi:10.1093/biomet/27.3-4.310
[9] Girone, G.; Massari, A.; Manca, F., The relation between the mean difference and the standard deviation in continuous distribution models, Quality & Quantity, 51, 2, 481-507 (2017) · doi:10.1007/s11135-016-0398-y
[10] Johnson, N.; Kotz, S.; Balakrishnan, N., Continuous univariate distributions, I, 39-44 (1994), Wiley · Zbl 0811.62001
[11] Jones, M. C., On families of distributions with shape parameters, International Statistical Review, 83, 2, 175-92 (2015) · Zbl 07763428 · doi:10.1111/insr.12055
[12] Jones, M. C.; Rosco, J. F.; Pewsey, A., Skewness-invariant measure of kurtosis, The American Statistician, 65, 2, 89-95 (2011) · doi:10.1198/tast.2011.10194
[13] Loperfido, N., A new kurtosis matrix, with statistical applications, Linear Algebra and Its Applications, 512, 1-17 (2017) · Zbl 1403.62129 · doi:10.1016/j.laa.2016.09.033
[14] Marsaglia, G.; Marshall, A. W.; Proschan, F., Moment crossings as related to density crossings, Journal of the Royal Statistical Society: Series B, 27, 1, 91-93 (1965) · Zbl 0128.38905
[15] Moors, J. J. A., The meaning of kurtosis: Darlington reexamined, The American Statistician, 40, 4, 283-84 (1986)
[16] Pearson, K., Das Fehlergesetz und seine Verallgemeinerungen durch Fechner und Pearson. A rejoinder, Biometrika, 4, 1-2, 169-212 (1905) · doi:10.2307/2331536
[17] Rosco, J. F.; Pewseya, A.; Jones, M. C., On Blest’s measure of kurtosis adjusted for skewness, Communication in Statistics - Theory and Methods (2015) · Zbl 1328.62066 · doi:10.1080/03610926.2013.771747
[18] Ruppert, D., What is kurtosis: An influence function approach, The American Statistician, 41, 1, 1-5 (1987) · Zbl 0607.62009
[19] Shaked, M.; Shanthikumar, J. G., Stochastic orders (2007), Springer Science & Business Media · Zbl 1111.62016
[20] Westfall, P. H., Kurtosis as peakedness 1905-2014, The American Statistician, 68, 3, 191-95 (2014) · Zbl 07653656 · doi:10.1080/00031305.2014.917055
[21] Zenga, M., Kurtosis. Encyclopedia of statistical sciences (2006), John Wiley & Sons
[22] Zenga, M.; Fiori, A. M., Karl Pearson and the origin of kurtosis, International Statistical Review, 77, 1, 40-50 (2009) · Zbl 07882287 · doi:10.1111/j.1751-5823.2009.00076.x
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.