Asymptotic Normality and the Coefficient of Variation

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Abstract

Abstract It is common to assume that if skewness tends, under specified circumstance, to zero, the allied distribution tends to normality. In some recent published research work, it was empirically demonstrated (via real data and a sample of theoretical distributions) that skewness and the coefficient of variation are statistically positively linearly related. This result is not intuitive and not yet mathematically proved. We explore here the scope and prevalence of this phenomenon, relating to both known theoretical results and to published data-based examples for applying a normalizing exponential transformation. Conclusions are derived.
Original languageEnglish
Title of host publicationWiley StatsRef: Statistics Reference Online
PublisherWiley Online Library
Pages1-7
Number of pages7
ISBN (Print)9781118445112
DOIs
StatePublished - 28 Nov 2023

Keywords

  • asymptotic normality
  • identity-full/less distributions
  • kurtosis
  • modeling process time
  • random-identity paradigm
  • repetitiveness measure
  • shape moments
  • skewness

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