Journals / Hacettepe Journal of Mathematics and Statistics / 2015 / Cilt: 44 - Sayı: 6

The Marshall–Olkin exponential Weibull distribution

Pages
1579–1594
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed distribution may serve as a viable alternative to other distributions available in the literature for modeling positive data arising in various fields of scientific investigation such as reliability theory, hydrology, medicine, meteorology, survival analysis and engineering.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A new four-parameter model called the Marshall–Olkin exponential–Weibull probability distribution is being introduced in this paper, generalizing a number of known lifetime distributions.
📊
Key Findings & Data:The hazard rate functions of the new model can be increasing and bathtub shaped.
💡
Conclusion & Impact:The proposed distribution may serve as a viable alternative to other distributions available in the literature for modeling positive data arising in various fields of scientific investigation such as reliability theory, hydrology, medicine, meteorology, survival analysis and engineering.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Marshall–Olkin exponential–Weibull distribution · goodness–of–fit statistics · moments

Abstract

A new four-parameter model called the Marshall–Olkin exponential–Weibull probability distribution is being introduced in this paper, generalizing a number of known lifetime distributions. This model turns out to be quite flexible for analyzing positive data. The hazard rate functions of the new model can be increasing and bathtub shaped. Our main objectives are to obtain representations of certain associated statistical functions, to estimate the parameters of the proposed distribution and to discuss its modality. As an application, the probability density function is utilized to model two actual data sets. The new distribution is shown to provide a better fit than related distributions as measured by the Anderson–Darling and Cramér–von Mises goodness– of–fit statistics. The proposed distribution may serve as a viable alternative to other distributions available in the literature for modeling positive data arising in various fields of scientific investigation such as reliability theory, hydrology, medicine, meteorology, survival analysis and engineering.

🔖

Cite This Article

Saboor, A., Provost, S., Pogány, T. K. (2022). The Marshall–Olkin exponential Weibull distribution. Hacettepe Journal of Mathematics and Statistics, Cilt: 44 - Sayı: 6, 1579–1594. https://ajindex.com/articles/530325

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...