Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/323194 
Year of Publication: 
2024
Citation: 
[Journal:] Metrika [ISSN:] 1435-926X [Volume:] 88 [Issue:] 3 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2024 [Pages:] 365-391
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Skewness and kurtosis are natural characteristics of a distribution. While it has long been recognized that they are more intrinsically entangled than other characteristics like location and dispersion, this has recently been made more explicit by Eberl and Klar (Stat Papers 65:415–433, 2024) with regard to orders of kurtosis. In this paper, we analyze the implications of this entanglement on kurtosis measures in general and for several specific examples. As a key finding, we show that kurtosis measures that are defined in the classical order-based way, which is analogous to measures of location, dispersion and skewness, do not exist. This raises serious doubts about the frequent application of such measures to skewed data. We then consider old and new proposals for kurtosis measures and evaluate under which additional conditions they measure kurtosis in a meaningful way. Some measures also allow more specific representations of the influence of skewness on the measurement of kurtosis than are available in a general setting. This works particularly well for a family of newly introduced density-based kurtosis measures.
Subjects: 
Asymmetric distributions
Kurtosis
Skewness
Dispersion measures
Stochastic orders
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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