Generating new families of distributions using the exponential reliability method

In this paper, a new modifying method has been introduced by adding extra parameter to generate a new family of distributions that has more flexibility and better model fitting. A special case has been considered; two parameters Weibull distribution. All the main properties of the new modified Weibull are derived, including CDF, PDF, hazard and reliability functions. The maximum likelihood estimation method is used to estimate unknown parameters. The modified Weibull distribution has been applied on two lifetime data sets after analyzing them.

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Publication Details

Journal
Boletim da Sociedade Paranaense de Matemática
Published
2025-05-29
DOI
https://doi.org/10.5269/bspm.70102
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Generating new families of distributions using the exponential reliability method

A. Asha, Morad Ahmad
Boletim da Sociedade Paranaense de Matemática
Statistical Distribution Estimation and Applications
article

Generating new families of distributions using the exponential reliability method

A. Asha, Morad Ahmad
article en

Abstract

In this paper, a new modifying method has been introduced by adding extra parameter to generate a new family of distributions that has more flexibility and better model fitting. A special case has been considered; two parameters Weibull distribution. All the main properties of the new modified Weibull are derived, including CDF, PDF, hazard and reliability functions. The maximum likelihood estimation method is used to estimate unknown parameters. The modified Weibull distribution has been applied on two lifetime data sets after analyzing them.

Boletim da Sociedade Paranaense de MatemáticaVol. 43
University of Jordan (JO)
University of Jordan, Zarqa University
Openalex Percentile: Top 78%
Statistical Distribution Estimation and Applications
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