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Dr. Ahmed Z. Afify :: Publications:

Title:
A unified exponential-H family for modeling real-life data: properties and inference.
Authors: Jamal, F., Alqawba, M., Altayab, Y., Iqbal, T. and Afify, A. Z.
Year: 2024
Keywords: Not Available
Journal: Heliyon
Volume: 10
Issue: Not Available
Pages: e27661
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

The exponential distribution is one of the most widely used statistical distribution for reliability issues. In this paper, we introduce a novel family based on the exponential model, called the new exponential-H (NEx-H) family. The sub-models of the NEx-H family are capable of accommodating variable failure rates, as well as unimodal, bimodal, left-skewed, symmetric, right-skewed, and J-shape densities. The mathematical features of the NEx-H family are derived. The parameters of the NEx-Weibull distribution are estimated by using seven estimation methods. Detailed numerical simulations are presented. Based on our study, the maximum likelihood is the best estimation method for estimating the NEx-Weibull parameters. Three real-life data sets are fitted using the NEx-Weibull distribution. The NEx-Weibull model provides better fit as compared to some competing Weibull models.

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