dc.contributorRenato Martins Assuncao
dc.creatorAlexandra Regina Rainho de Almeida
dc.date.accessioned2019-08-14T13:49:46Z
dc.date.accessioned2022-10-04T00:29:12Z
dc.date.available2019-08-14T13:49:46Z
dc.date.available2022-10-04T00:29:12Z
dc.date.created2019-08-14T13:49:46Z
dc.date.issued2005-05-13
dc.identifierhttp://hdl.handle.net/1843/BUOS-92FKX5
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3834385
dc.description.abstractIn environmental risk analysis, it is common to assume the stochastic independence (or separability) between the marks associated with the random events of a spatial-temporal point process. Schoenberg (2004, Biometrics 60, 471{481) proposed some alternative test statistics for this hypothesis and used simulated data to evaluate their performance. He found that a Cramer-von Mises-type test is powerful to detect gradual departures from separability but it is not uniformly so over other alternative models. We present a semi-parametric approach to model alternative hypothesis to separability and derived a score test statistic. We show that there is a relationship between this score test and some of the test statistics proposed by Schoenberg since all of them can be seen as different versions of weighetd Carmer-von Mises-type statistics. This gives some insight into the reasons for the similarities and the di®erences between the test statistics performance.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectProcesso de Poisson
dc.subjectSeparabilidade
dc.subjectProcesso pontual marcado
dc.subjectProcesso pontual espaço-temporal
dc.subjectInteração espaço-tempo
dc.titleUm novo teste para a hipótese de separabilidade em processos pontuais
dc.typeDissertação de Mestrado


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