Modified Kumaraswamy Negative Exponential Distribution

In this research a four parameter continuous probability distribution model called Kumaraswamy negative exponential distribution (KNED) was proposed as an enhancement of the negative exponential distribution. The probability density function and cumulative distribution function of the modified distribution were derived. Additionally, the validity of this distribution was demonstrated. Also, various properties of the modified distribution for instance survival and hazard functions, moments, moment generating functions, and order statistics were obtained. Parameters for the modified distribution were estimated using maximum likelihood estimation method. Furthermore, the proposed model was compared to other variations of exponential distribution using some analytical measures of goodness of fit on information criteria and the results obtained shows that our proposed model gives better fit, thus proving greater flexibility in modelling real-world phenomenon.

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Publication Details

Journal
International Journal of Science for Global Sustainability
Published
2024-10-31
DOI
https://doi.org/10.57233/ijsgs.v10i3.725
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Modified Kumaraswamy Negative Exponential Distribution

A. M. Ndatsu, Umar Usman, Amina A.M. Al-Mu, Amir Mahmud
International Journal of Science for Global Sustainability
Statistical Distribution Estimation and Applications
article

Modified Kumaraswamy Negative Exponential Distribution

A. M. Ndatsu, Umar Usman, Amina A.M. Al-Mu, Amir Mahmud
article en

Abstract

In this research a four parameter continuous probability distribution model called Kumaraswamy negative exponential distribution (KNED) was proposed as an enhancement of the negative exponential distribution. The probability density function and cumulative distribution function of the modified distribution were derived. Additionally, the validity of this distribution was demonstrated. Also, various properties of the modified distribution for instance survival and hazard functions, moments, moment generating functions, and order statistics were obtained. Parameters for the modified distribution were estimated using maximum likelihood estimation method. Furthermore, the proposed model was compared to other variations of exponential distribution using some analytical measures of goodness of fit on information criteria and the results obtained shows that our proposed model gives better fit, thus proving greater flexibility in modelling real-world phenomenon.

International Journal of Science for Global SustainabilityVol. 10(3)
Sokoto State University (NG), Usmanu Danfodiyo University (NG)
Openalex Percentile: Top 75%
Statistical Distribution Estimation and Applications
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