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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/63609
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dc.contributor.authorRao, N. J M-
dc.contributor.authorBiazi, Elenice-
dc.date.accessioned2014-05-26T20:54:28Z-
dc.date.accessioned2016-10-25T18:11:43Z-
dc.date.available2014-05-26T20:54:28Z-
dc.date.available2016-10-25T18:11:43Z-
dc.date.issued1983-09-01-
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.issn0066-6424-
dc.identifier.issn1436-5065-
dc.identifier.urihttp://hdl.handle.net/11449/63609-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/63609-
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.format.extent261-265-
dc.language.isoeng-
dc.sourceScopus-
dc.titleProbability distribution models for daily rainfall data for an interior station of Brazilen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
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.identifier.doi10.1007/BF02275100-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofArchives for Meteorology, Geophysics, and Bioclimatology Series B-
dc.identifier.scopus2-s2.0-0020897074-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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