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يسرى عبد اللطيف طاشكندي Yusra A.Tashkandy

Associate Professor

عضو هيئة تدريس (رئيس قسم الإحصاء وبحوث العمليات)

كلية العلوم
كلية العلوم(شطر الطالبات المبنى5 الدور 3 مكتب رقم 133) (شطر الطلاب-مبنى 4-الدور 2-قسم الإحصاء وبحوث العمليات)
publication
Journal Article
2022

The Arcsine Kumaraswamy-Generalized Family Bayesian and Classical Estimates and Application

Abstract
In this paper, by including a trigonometric function, we propose a family of heavy-tailed distribution called the arcsine Kumaraswamy generalized-X family of distributions. Based on the proposed approach, a four-parameter extension of the Lomax distribution called the arcsine Kumaraswamy generalized Lomax (ASKUG-LOMAX) distribution is discussed in detail. Maximum likelihood, bootstrap, and Bayesian estimation are used to estimate the model parameters. A simulation study is used to evaluate ASKUG-LOMAX performance. The flexibility and usefulness of the proposed ASKUG-LOMAX distribution to predict unique symmetric and asymmetric patterns is demonstrated by analyzing real data. The results show that the ASKUG-LOMAX model is a good candidate for analyzing claims based on heavy-tailed data.

Publisher Name
Symmetry
Publishing City
HUNGARY
Volume Number
14(11)
Magazine \ Newspaper
Symmetry 2022, 14(11)
Pages
19
more of publication
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2022
Published in:
MDPI
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)e exponentiated generalized Gull alpha power exponential distribution is an extension of the exponential distribution that can
model data characterized by various shapes of the hazard…

2022
Published in:
Hindawi-Mathematical Problems in Engineering