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December 12, 2025Mathematics1 citationsOpen Access

A New Modification of Modified Weibull Distribution for Modeling Engineering Data

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AAA. S. Al-MoisheerKSKhalaf S. SultanHRHossam M. M. Radwan

Key Points

  • The research aims to propose a new modification of the modified Weibull distribution (NMMWD) for engineering data modeling.
  • Introduces new modification of modified Weibull distribution
  • Analyzes characteristics including quantiles, Bowley skewness, and Moors kurtosis
  • Applies estimating approaches using complete engineering data sets
  • Conducts simulation study to compare different estimation methods
  • The proposed model demonstrates better fit for real engineering data compared to established distributions
  • Offers flexibility in estimates as indicated by non-parametric tests
  • Mean square error analysis supports the model's effectiveness

Abstract

This study investigates a novel modification for a modified Weibull distribution called the new modification of modified Weibull distribution. Some distributions related to the NMMWD are given. Some characterization of the NMMWD, including quantiles, Bowley skewness, Moors kurtosis, and moments, are given in closed forms. The hazard rate function of the new distribution takes two distinct shapes, the increasing and the bathtub shapes. Different estimating approaches are investigated utilizing complete data. Three real data sets from the engineering field are analyzed to demonstrate the suggested model’s flexibility in practice. In comparison to certain well-known distributions, the proposed distribution fits the tested data better according to both parametric and non-parametric tests. A simulation study is presented to compare the various estimating approaches using mean square error and average absolute bias.

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Cite This Study

Al-Moisheer et al. (2025) studied this question.

synapsesocial.com/papers/6940190c2d562116f28f649ehttps://doi.org/10.3390/math13243963
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