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Author
Beghriche Abdelfateh (University the Brothers Mentouri Constantine, Algeria), Zeghdoudi Halim (Badji-Mokhtar University, Algeria), Raman Vinoth (Imam Abdulrahman Bin Faisal University, Kingdom of Saudi Arabia), Chouia Sarra (Badji-Mokhtar University, Algeria)
Title
New Polynomial Exponential Distribution: Properties and Applications
Source
Statistics in Transition, 2022, vol. 23, nr 3, s. 95-112, tab., wykr., bibliogr. 17 poz.
Keyword
Metoda największej wiarygodności, Estymacja, Funkcje
Maximum likelihood estimation, Estimation, Functions
Note
summ.
Abstract
The study describes the general concept of the XLindley distribution. Forms of density and hazard rate functions are investigated. Moreover, precise formulations for several numerical properties of distributions are derived. Extreme order statistics are established using stochastic ordering, the moment method, the maximum likelihood estimation, entropies and the limiting distribution. We demonstrate the new family's adaptability by applying it to a variety of real-world datasets. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.2478/stattrans-2022-0032
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