dc.contributor.author | I W. Mangku | |
dc.contributor.author | R. Budiarti | |
dc.contributor.author | Casman | |
dc.date.accessioned | 2015-07-02T01:18:56Z | |
dc.date.available | 2015-07-02T01:18:56Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/75750 | |
dc.description.abstract | A kernel-type nonparametric estimator of the intensity obtained as the product of a periodic function with the quadratic trend of a nonhomogeneous Poisson process is constructed and investigated. It is considered the case when there is only a single realization of the Poisson process is observed in a bounded interval. The proposed estimator is proved to be weakly and strongly consistent when the size of the interval indefinitely expands. The asymptotic bias, variance, and the mean-squared error of the proposed estimator are also computed. | en |
dc.language.iso | en | |
dc.relation.ispartofseries | Volume 82,;Number I. 2013, Page. 33-44 | |
dc.title | Estimating The Intensity Obtained As The Product Of A Periodic Function With The Quadratic Trend Of A Non-Homogeneous Poisson Process | en |
dc.type | Article | en |
dc.subject.keyword | Poisson process | en |
dc.subject.keyword | periodic intensity function | en |
dc.subject.keyword | quadratic trend | en |
dc.subject.keyword | kernel-type estimator | en |
dc.subject.keyword | consistent estimation | en |
dc.subject.keyword | bias, variance | en |
dc.subject.keyword | mean-squared error. | en |