Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

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A GENERALIZATION OF WEIBULL DISTRIBUTION: THEORY AND APPLICATIONS

Authors

  • Hatem E. Semary
  • M. Girish Babu
  • I. Elbatal

Keywords:

goodness-of-fit, hazard rate function, maximum likelihood estimation, moments, transmuted distributions, Weibull distribution.

DOI:

https://doi.org/10.17654/0972361722083

Abstract

In this paper, we introduce a new continuous four parameter distribution called the exponential transmuted Weibull (ETW) distribution. Statistical properties of the proposed distribution such as expansion of density function, shapes of probability density function and hazard rate function, moments, incomplete moments, moment generating function, mean deviation, Bonferroni and Lorenz curves are derived. We discuss the method of maximum likelihood to estimate the model parameters and conduct a simulation study to check the performance of the method. Two real data sets are used to illustrate the importance and flexibility of the proposed model.

Received: September 15, 2022 
Accepted: October 15, 2022

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Published

24-09-2025

Issue

Section

Articles

How to Cite

A GENERALIZATION OF WEIBULL DISTRIBUTION: THEORY AND APPLICATIONS. (2025). Advances and Applications in Statistics , 83, 1-25. https://doi.org/10.17654/0972361722083

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