Probability distribution models for daily rainfall data for an interior station of Brazil
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
26/05/2014
26/05/2014
01/09/1983
|
| Resumo |
Two 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. |
| Formato |
261-265 |
| Identificador |
http://dx.doi.org/10.1007/BF02275100 Archives for Meteorology, Geophysics, and Bioclimatology Series B, v. 33, n. 3, p. 261-265, 1983. 0066-6424 1436-5065 http://hdl.handle.net/11449/63609 10.1007/BF02275100 2-s2.0-0020897074 |
| Idioma(s) |
eng |
| Relação |
Archives for Meteorology, Geophysics, and Bioclimatology Series B |
| Direitos |
closedAccess |
| Tipo |
info:eu-repo/semantics/article |
