The Pareto-Rayleigh Distribution: Theory with Some Real-life Applications
Md. Shohel Rana,
Md. Matiur Rahman Molla and
Md. Mahabubur Rahman
Additional contact information
Md. Shohel Rana: Islamic University, Bangladesh
Md. Matiur Rahman Molla: Islamic University, Bangladesh
Md. Mahabubur Rahman: Islamic University, Bangladesh
European Journal of Mathematics and Statistics, 2022, vol. 3, issue 4, 27-36
Abstract:
Pareto-Rayleigh (PR) distribution (a member of Pareto-X family proposed in [1]) is considered here to study. The estimated values of the model parameters are derived by the maximum likelihood estimation process. Different important properties of the introduced distribution are obtained. Four real-life applications are studied from various fields to evaluate the applicability of proposed PR model. An exclusive simulation has been conducted to observe the performance of the estimation technique. Finally, it is shown that the better fitness of newly developed model than others chosen models selected in this study.
Keywords: Transformed-Transformer (T-X) family; Pareto-X family; Pareto-Rayleigh distribution; Reliability anal- ysis; Distribution of Order statistics; MLE (Maximum Likelihood Estimation) (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejmath/article/view/14131 Abstract page (text/html)
https://eu-opensci.org/index.php/ejmath/article/download/14131/3178 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:ejmath:v:3:y:2022:i:4:id:14131
DOI: 10.24018/ejmath.2022.3.4.131
Access Statistics for this article
More articles in European Journal of Mathematics and Statistics from European Open Science
Bibliographic data for series maintained by Support Team ().