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A New Alpha Skew Normal Distribution and its Real Life Applications


Article Information

Title: A New Alpha Skew Normal Distribution and its Real Life Applications

Authors: Jondeep Das, Partha Jyoti Hazarika, Dimpal Pathak, G.G. Hamedani

Journal: Pakistan Journal of Statistics and Operation Research

HEC Recognition History
Category From To
Y 2020-07-01 2021-06-30

Publisher: Asiatic Region

Country: Pakistan

Year: 2025

Volume: 21

Issue: 3

Language: en

DOI: 10.18187/pjsor.v21i3.4859

Keywords: AICMetropolis-HastingsTrimodalitySkew NormalAlpha Skew Normal

Categories

Abstract

This paper introduces a novel continuous probability distribution which extends the alpha skew normaldistribution of Elal-Olivero (2010). The newy introduced distribution is designed to model data exhibitingtri-modal behavior. A comprehensive overview of the novel distribution is provided including various keystatistical properties like moments, moment generating function (mgf), characterization results etc. Besides,to assess the performance of the derived parameters, a simulation study is conducted using Metropolis-Hastings method. Furthermore, an investigation regarding the flexibility and applicability of the distributionis conducted by analyzing two real life datasets. During applications it is found that for the datasetsconsidered, the newly proposed distribution outperforms the existing models in terms of some model selectioncriterion like AIC and BIC, highlighting its potential in practical applications. Finally, likelihood ratio (LR)test is conducted to differentiate between various nested models


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