The gamma half-Cauchy distribution: Properties and applications

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dc.contributor.authorAlzaatreh, Ayman
dc.contributor.authorMansoory, M.
dc.contributor.authorTahirz, M. H.
dc.contributor.authorZubair, M.
dc.contributor.authorGhazalik, Shakir Ali
dc.date.accessioned2017-01-09T05:41:25Z
dc.date.available2017-01-09T05:41:25Z
dc.date.issued2016
dc.description.abstractA new distribution, namely, the Gamma-Half-Cauchy distribution is proposed. Various properties of the Gamma-Half-Cauchy distribution are studied in detail such as limiting behavior, moments, mean deviations and Shannon entropy. The model parameters are estimated by the method of maximum likelihood and the observed information matrix is obtained. Two data sets are used to illustrate the applications of Gamma-Half-Cauchy distribution.ru_RU
dc.identifier.citationAlzaatreh, A., Mansoory, M., Tahirz, M. H., Zubair, M., & Ghazalik, S. A. (2016). The gamma half-Cauchy distribution: Properties and applications. Hacettepe Journal of Mathematics and Statistics, 45(4), 1143-1159. DOI: 10.15672/HJMS.20157011058ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/2219
dc.language.isoenru_RU
dc.publisherHacettepe Journal of Mathematics and Statisticsru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectfolded Cauchy distributionru_RU
dc.subjectgamma distributionru_RU
dc.subjectHalf-Cauchy distributionru_RU
dc.subjectShannon entropyru_RU
dc.titleThe gamma half-Cauchy distribution: Properties and applicationsru_RU
dc.typeArticleru_RU

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