Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76802
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dc.contributor.authorTanachot Chaitoen_US
dc.contributor.authorManad Khamkongen_US
dc.date.accessioned2022-10-16T07:18:39Z-
dc.date.available2022-10-16T07:18:39Z-
dc.date.issued2021-12-01en_US
dc.identifier.issn18189962en_US
dc.identifier.issn19950802en_US
dc.identifier.other2-s2.0-85127292260en_US
dc.identifier.other10.1134/S1995080222010218en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127292260&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76802-
dc.description.abstractAbstract: In this study, we introduce a new class of length–biased distribution, the length–biased Weibull–Rayleigh (LBWR) distribution, and provide its properties such as the limit behavior, survival function, hazard rate function, rth moment, and moment generating function. Moreover, maximum likelihood estimation is used in the parameter estimation. The LBWR distribution was fitted to two hydrological datasets and its efficacy compared with Rayleigh, Weibull, Pareto, and Weibull–Rayleigh distributions, the results of which show that the novel distribution provides a better fit than the others.en_US
dc.subjectMathematicsen_US
dc.titleThe Length–Biased Weibull–Rayleigh Distribution for Application to Hydrological Dataen_US
dc.typeJournalen_US
article.title.sourcetitleLobachevskii Journal of Mathematicsen_US
article.volume42en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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