dc.contributor | Renato Martins Assuncao | |
dc.creator | Alexandra Regina Rainho de Almeida | |
dc.date.accessioned | 2019-08-14T13:49:46Z | |
dc.date.accessioned | 2022-10-04T00:29:12Z | |
dc.date.available | 2019-08-14T13:49:46Z | |
dc.date.available | 2022-10-04T00:29:12Z | |
dc.date.created | 2019-08-14T13:49:46Z | |
dc.date.issued | 2005-05-13 | |
dc.identifier | http://hdl.handle.net/1843/BUOS-92FKX5 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3834385 | |
dc.description.abstract | In 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.publisher | Universidade Federal de Minas Gerais | |
dc.publisher | UFMG | |
dc.rights | Acesso Aberto | |
dc.subject | Processo de Poisson | |
dc.subject | Separabilidade | |
dc.subject | Processo pontual marcado | |
dc.subject | Processo pontual espaço-temporal | |
dc.subject | Interação espaço-tempo | |
dc.title | Um novo teste para a hipótese de separabilidade em processos pontuais | |
dc.type | Dissertação de Mestrado | |