Nakagami Distribution with Heavy Tails and Applications to Mining Engineering Data

dc.contributor.authorReyes, Jimmy
dc.contributor.authorRojas, Mario A.
dc.contributor.authorVenegas, Osvaldo
dc.contributor.authorGomez, Hector W.
dc.date2020
dc.date.accessioned2021-04-30T16:32:56Z
dc.date.available2021-04-30T16:32:56Z
dc.description.abstractIn this paper we introduce a new extension of the Nakagami distribution. This new distribution is obtained by the quotient of two independent random variables. The quotient consists of a Nakagami distribution divided by a power of the uniform distribution in (0,1). Thus the new distribution has a heavier tail than the Nakagami distribution. In this study we obtain the density function and some important properties for making the inference, such as estimators of moment and maximum likelihood. We examine two sets of real data from the mining industry which show the usefulness of the new model in analyses with high kurtosis.
dc.identifier.citationJOURNAL OF STATISTICAL THEORY AND PRACTICE,Vol.14,,2020
dc.identifier.doi10.1007/s42519-020-00122-7
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/2934
dc.language.isoen
dc.publisherSPRINGER
dc.sourceJOURNAL OF STATISTICAL THEORY AND PRACTICE
dc.subject.englishKurtosis
dc.subject.englishMaximum likelihood estimator
dc.subject.englishSlash-Nakagami distribution
dc.titleNakagami Distribution with Heavy Tails and Applications to Mining Engineering Data
dc.typeArticle
uct.catalogadorWOS
uct.indizacionESCI
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