Nakagami Distribution with Heavy Tails and Applications to Mining Engineering Data

Simple item page
datacite.alternateIdentifier.citationJOURNAL OF STATISTICAL THEORY AND PRACTICE,Vol.14,,2020
datacite.alternateIdentifier.doi10.1007/s42519-020-00122-7
datacite.creatorReyes, Jimmy
datacite.creatorRojas, Mario A.
datacite.creatorVenegas, Osvaldo
datacite.creatorGomez, Hector W.
datacite.date2020
datacite.subject.englishKurtosis
datacite.subject.englishMaximum likelihood estimator
datacite.subject.englishSlash-Nakagami distribution
datacite.titleNakagami Distribution with Heavy Tails and Applications to Mining Engineering Data
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.urihttp://repositoriodigital.uct.cl/handle/10925/2934
dc.language.isoen
dc.publisherSPRINGER
dc.sourceJOURNAL OF STATISTICAL THEORY AND PRACTICE
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionESCI
Files
Collections
MigraciĆ³n Web of Science