A New Modification of Modified Weibull Distribution for Modeling Engineering Data

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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Publication Details

Journal
Mathematics
Published
2025-12-12
DOI
https://doi.org/10.3390/math13243963
Citations
1
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
2.63

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article

A New Modification of Modified Weibull Distribution for Modeling Engineering Data

A. S. Al-Moisheer, Hossam M. M. Radwan, Khalaf S. Sultan
1 citations
Mathematics
Statistical Distribution Estimation and Applications
2.63
article

A New Modification of Modified Weibull Distribution for Modeling Engineering Data

A. S. Al-Moisheer, Hossam M. M. Radwan, Khalaf S. Sultan
article en
1 citations

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.

MathematicsVol. 13(24)
Al-Azhar University (EG), Imam Mohammad ibn Saud Islamic University (SA), Minia University (EG)
Al-Imam Muhammad Ibn Saud Islamic University
Openalex Percentile: Top 7%
Statistical Distribution Estimation and Applications
2.63
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