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Some new facts about the unit-Rayleigh distribution with applications

Authors :
Chesneau, Christophe
Jamal, Farrukh
Laboratoire de Mathématiques Nicolas Oresme (LMNO)
Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)
Department of Statistics, Govt. S.A Postgraduate College Dera Nawab Sahib, Bahawalpur
Chesneau, Christophe
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

This paper is devoted to new facts about the so-called unit-Rayleigh distribution. More precisely, we contribute by: (i) proving new stochastic ordering results, (ii) bringing new characteristics on the form analysis of its main probabilistic and reliability functions with an emphasis on the mode(s), (iii) exposing manageable expressions of the incomplete and probability weighted moments, (iv) investigating distributional properties of the order statistics, (v) giving the expression of the reliability coefficient, (vi) providing a tractable expression for the Tsallis entropy and (vii) proposing some bivariate unit-Rayleigh distributions. On a practical level, two data sets are analyzed and adjusted, revealing that the unit-Rayleigh distribution can be a better alternative to standard one-parameter unit distributions, such as the one-parameter Kumaraswamy, Topp-Leone, one-parameter beta, power and transmuted distributions.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..e66a8678879da89fc8c2904e54a28634