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Articles

A study of geometric and statistical curvatures for the skew-normal family of distributions

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Pages 2010-2022 | Received 08 May 2016, Accepted 15 May 2017, Published online: 12 Jul 2017
 

ABSTRACT

With special reference to the family of skew-normal distributions, we consider geometric curvature of a probability density function as a means to define and identify rare or catastrophic events—a phenomenon common in studying the financial instruments. Further, we study the statistical curvature properties of this family of distributions and discuss the sample size issue, to assess, to what extent the linear and likelihood-based inference of exponential family of distribution can be applicable for the skew-normal family.

MATHEMATICS SUBJECT CLASSIFICATION:

Acknowledgment

The authors wish to thank an anonymous referee for his/her critical comments that helped improve this article.

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