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Annals of Data Science
Published in: Annals of Data Science 4/2023

15-04-2021

A Generalized-Alpha–Beta-Skew Normal Distribution with Applications

Authors: Sricharan Shah, Partha Jyoti Hazarika, Subrata Chakraborty, M. Masoom Ali

Published in: Annals of Data Science | Issue 4/2023

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Abstract

Recently there is a lot of research related to skewed distributions and their growing relevance in data analytics. In the present work we introduce a new generalized version of alpha beta skew normal distribution and some of its basic properties are investigated. Some extensions of the proposed distribution have also been studied. A simulation study has been conducted to see the performance of the obtained estimators of the parameters using Metropolis–Hastings (MH) algorithm. The appropriateness of the proposed distribution has been tested by comparing it with twelve closely related and nested distributions using Akaike Information Criterion. The Likelihood Ratio test has been employed for testing the relevance of the induction of the additional parameters in the proposed model.
previous article Generalized Regression Neural Network Model Based Estimation of Global Solar Energy Using Meteorological Parameters

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Appendix
Available only for authorised users
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Metadata
Title
A Generalized-Alpha–Beta-Skew Normal Distribution with Applications
Authors
Sricharan Shah
Partha Jyoti Hazarika
Subrata Chakraborty
M. Masoom Ali
Publication date
15-04-2021
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 4/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-021-00325-0

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