Probability distribution models for daily rainfall data for an interior station of Brazil

dc.contributor.authorRao, N. J M [UNESP]
dc.contributor.authorBiazi, Elenice [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-26T20:54:28Z
dc.date.available2014-05-26T20:54:28Z
dc.date.issued1983-09-01
dc.description.abstractTwo stochastic models have been fitted to daily rainfall data for an interior station of Brazil. Of these two models, the results show a better fit to describe the data, by truncated negative probability model in comparison with Markov chain probability model. Kolmogorov-Smirnov test is applied for significance for these models. © 1983 Springer-Verlag.en
dc.description.affiliationInstituto de Planejamento e Estudos Ambientais (UNESP), CP957, Presidente Prudente, 19100
dc.description.affiliationUnespInstituto de Planejamento e Estudos Ambientais (UNESP), CP957, Presidente Prudente, 19100
dc.format.extent261-265
dc.identifierhttp://dx.doi.org/10.1007/BF02275100
dc.identifier.citationArchives for Meteorology, Geophysics, and Bioclimatology Series B, v. 33, n. 3, p. 261-265, 1983.
dc.identifier.doi10.1007/BF02275100
dc.identifier.issn0066-6424
dc.identifier.issn1436-5065
dc.identifier.scopus2-s2.0-0020897074
dc.identifier.urihttp://hdl.handle.net/11449/63609
dc.language.isoeng
dc.relation.ispartofArchives for Meteorology, Geophysics, and Bioclimatology Series B
dc.relation.ispartofsjr0,543
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.titleProbability distribution models for daily rainfall data for an interior station of Brazilen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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