Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/73042
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dc.contributor.authorTanachot Chaitoen_US
dc.contributor.authorPimwarat Nanthapruten_US
dc.contributor.authorNawapon Nakharutaien_US
dc.contributor.authorManad Khamkongen_US
dc.date.accessioned2022-05-27T08:34:46Z-
dc.date.available2022-05-27T08:34:46Z-
dc.date.issued2022-04-01en_US
dc.identifier.issn23510676en_US
dc.identifier.issn16859057en_US
dc.identifier.other2-s2.0-85127764531en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127764531&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/73042-
dc.description.abstractIn this study, we introduce a new class of length-biased distribution called the length-biased Gamma-Rayleigh (LBGR) distribution. Various mathematical properties, including its limit th behavior, the r moment, the moment generating function, the survival function, and the hazard ratio function, are derived. Maximum-likelihood estimation is used to estimate the parameters of the LBGR distribution. Three environmental datasets were used in a comparison of distributions to determine which one could best fit the data. The results indicate that the LBGR distribution provided a better fit than the Rayleigh, lognormal, gamma, and gamma-Rayleigh distributions.en_US
dc.subjectMathematicsen_US
dc.titleThe Length-Biased Gamma-Rayleigh Distribution with Applicationsen_US
dc.typeJournalen_US
article.title.sourcetitleThailand Statisticianen_US
article.volume20en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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