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Citation Indices from GS

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Citations173
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:: Volume 34, Issue 2 (2-2024) ::
مجله‌ی بررسی‌ها 2024, 34(2): 59-77 Back to browse issues page
A Presentation of a New Model of Exponentiated Marshall-Olkin Generalized Exponential Distribution and It's Application
Anita Abdollahi Nanvapishe * , Abdollahi Nanvapishe
Razi University
Abstract:   (37 Views)
In this paper, the features and applications of a new three-parameter distribution called the Exponentiated Marshall- Olkin Generalized Exponential Distribution are presented, which has many applications in meteorology, longevity issues, agricultural product price modeling, and reliability. This distribution has an increasing and decreasing hazard rate function according to its parameter values. In this paper, first, some statistical and mathematical characteristics of this distribution, including moments, maximum likelihood estimation of the parameters will be expressed and a simulation study will be presented in this field. Finally, applications of the new distribution are presented to show the flexibility of the distribution. The results also confirm the suitability of this model for the considered real data set.
 
Keywords: The Exponentiated Exponential Distribution, Generalized Marshall Distribution, Marshall-Olkin Generalized Exponential Distribution, Exponentiated Marshall-Olkin Generalized Exponential Distribution, Maximom Likelihood Estimation.
Full-Text [PDF 906 kb]   (25 Downloads)    
Type of Study: Research | Subject: Special
Accepted: 2024/02/29 | Published: 2024/02/29


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Abdollahi Nanvapishe A, Abdollahi Nanvapishe. A Presentation of a New Model of Exponentiated Marshall-Olkin Generalized Exponential Distribution and It's Application. مجله‌ی بررسی‌ها 2024; 34 (2) :59-77
URL: http://ijoss.srtc.ac.ir/article-1-545-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 34, Issue 2 (2-2024) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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