Indian Journal of Science and Technology
DOI: 10.17485/IJST/v16iSP2.7587
Year: 2023, Volume: 16, Issue: Special Issue 2, Pages: 44-52
Original Article
Dimpal Pathak1*, Sricharan Shah2, Partha Jyoti Hazarika3, Subrata Chakraborty4, Jondeep Das1
1Research Scholar, Department of Statistics, Dibrugarh University, Dibrugarh, 786002, Assam, India
2Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India
3Assistant Professor, Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India
4Professor, Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India
*Corresponding Author
Email: [email protected]
Received Date:23 March 2023, Accepted Date:26 June 2023, Published Date:02 November 2023
Objective: In this study, a new class of Balakrishnan distribution by extending the alpha skew generalized t distribution is proposed. Methods: Statistical properties of the Balakrishnan alpha skew generalized t distribution are studied in detail. In particular, specific expressions of the density and distribution function, moments, skewness, kurtosis and mode of the particular distribution are derived. The parameters of the new family of distributions are estimated by the method of maximum likelihood. Lastly, the flexibility, suitability and usefulness of the proposed distribution are illustrated by analyzing real-life data set. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) are used for model selection. Findings: The proposed distribution performs well in terms of AIC and BIC in real-life data modelling than the other symmetric and asymmetric distributions considered here. Novelty: The main uniqueness of the proposed distribution is to modal bimodal and heavy/light-tailed datasets.
Keywords: Skewed Distribution, Alpha Skew Generalized t Distribution, AIC, BIC, Optimization, Generalized t
© 2023 Pathak et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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