Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/29793
Title: Avaliação de estimadores equivariantes e de máxima verossimilhança em eventos de precipitação máxima
Other Titles: Evaluation of equivariants andmaximum likelihood estimators in maximum rainfall events
Keywords: Extreme values
Exponential distribution
Return time
Valores extremos
Distribuição exponencial
Tempo de retorno
Issue Date: 2017
Publisher: Universidade Federal de Lavras
Citation: REIS, C. J. dos; Chaves, L. C.; SOUZA, D. J. de. Avaliação de estimadores equivariantes e de máxima verossimilhança em eventos de precipitação máxima. Revista Brasileira de Biometria, Lavras, v. 35, n. 3, p. 537-557, 2017.
Abstract: A climatic variable whose behavior is of great interest is rainfall, since various economical activities and environmental processes are highly dependent on it. The aim in the present work: i) check the t of the exponential distribution to maximum rainfall data in Piracicaba-SP, in the months from October to March, ii) calculate the expected maximum precipitation for return periods of 10, 30, 50, 70 and 100 years in these months, using equivariants and maximum likelihood estimators, iii) to compare the exponential distribution adjusted using equivariant estimators (ExponentialE) with the one adjusted using maximum Likelihood (ExponentialML) in order to select, in each month, the more accurate results. The data of maximum precipitation (1917-2015) were obtained from the agrometeorological conventional station of the Escola Superior de Agricultura \Luiz de Queiroz" (ESALQ / USP). The ExponentialE and ExponentialML distributions ts data every month. The exponentialE distribution was more suitable to model the maximum rainfall data in November and December. In the remaining months, the distribution ExponentialML, performed better.
URI: http://repositorio.ufla.br/jspui/handle/1/29793
Appears in Collections:DEX - Artigos publicados em periódicos



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