<b>New Exponentiated Exponential- Rayleigh Distribution: Structure and Properties</b>

In this research, we will introduce a new distribution, which is called the new exponentiated exponential-Rayleigh distribution, which is built by adding the shape parameter to the cumulative function of the exponential-Rayleigh distribution resulting from merging the cdf function of three parameters continuous distribution. Two of these parameters are scale parameters, and another is the shape parameter and this is to make this new continuous statistical distribution more flexible than other continuous statistical distributions. Besides, discuss the mathematical and statistical properties of this new distribution, including (the mode, the median, the moments about the origin, the coefficients of skewness and kurtosis, the characteristic function, the moment-generating function, the factorial moments-generating function, and the mean time to failure). The shape property of each of the pdf, cdf, and hazard functions was also studied. Multiple shapes were drawn with different parameter values ​​for each of the PDF, CDF, survival, and hazard functions. An organisational table was also created for some of these properties

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Publication Details

Journal
Ibn AL- Haitham Journal For Pure and Applied Science
Published
2025-10-20
DOI
https://doi.org/10.30526/38.4.4064
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

New Exponentiated Exponential- Rayleigh Distribution: Structure and Properties

Maysaa Jalil Mohammed, Umar Yusuf Madaki, Dorgham Ali Hamza
Ibn AL- Haitham Journal For Pure and Applied Science
Statistical Distribution Estimation and Applications
article

New Exponentiated Exponential- Rayleigh Distribution: Structure and Properties

Maysaa Jalil Mohammed, Umar Yusuf Madaki, Dorgham Ali Hamza
article en

Abstract

In this research, we will introduce a new distribution, which is called the new exponentiated exponential-Rayleigh distribution, which is built by adding the shape parameter to the cumulative function of the exponential-Rayleigh distribution resulting from merging the cdf function of three parameters continuous distribution. Two of these parameters are scale parameters, and another is the shape parameter and this is to make this new continuous statistical distribution more flexible than other continuous statistical distributions. Besides, discuss the mathematical and statistical properties of this new distribution, including (the mode, the median, the moments about the origin, the coefficients of skewness and kurtosis, the characteristic function, the moment-generating function, the factorial moments-generating function, and the mean time to failure). The shape property of each of the pdf, cdf, and hazard functions was also studied. Multiple shapes were drawn with different parameter values ​​for each of the PDF, CDF, survival, and hazard functions. An organisational table was also created for some of these properties

Ibn AL- Haitham Journal For Pure and Applied ScienceVol. 38(4)
University of Baghdad (IQ), Yobe State University (NG)
Openalex Percentile: Top 70%
Statistical Distribution Estimation and Applications
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<b>New Exponentiated Exponential- Rayleigh Distribution: Structure and Properties</b> — Maysaa Jalil Mohammed, Umar Yusuf Madaki, et al. · Ibn AL- Haitham Journal For Pure and Applied Science (2025) | TGRS Research Map | TGRS