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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Open Access Research Article

A generalization of Balakrishnan-alpha-skew-normal distribution : Properties, characterisations and applications

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pp. 9–33Vol. 27Issue 1January 2024DOI: 10.47974/JSMS-1013XML
Received:
05 Apr 2022
Accepted:
10 Aug 2022
Published Online:
08 Jan 2024
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1013
Pages:
9–33

Abstract

In this article, a generalized form of the Balakrishnan-alpha-skew-normal distribution of Hazarika et al. (2020) is proposed and some of its simple and distributional properties are studied. Two characterizations have also been presented. For model selection criteria namely Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), are used to check appropriateness of the proposed distribution by conducting data fitting experiments and comparing it with some other related distributions. The likelihood ratio test is employed for discriminating between nested models.

Keywords

Subject Classifications

60E0562H1062H12

References

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