Consistency Of A Kernel-Type Estimator Of The Intencity Of The Cyclic Poisson Process With The Linear Trend

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DC Field	Value	Language
dc.contributor.author	Mangku, I Wayan
dc.contributor.author	Siswadi
dc.contributor.author	Budiarti, Retno
dc.date.accessioned	2015-07-01T03:03:57Z
dc.date.available	2015-07-01T03:03:57Z
dc.date.issued	2009
dc.identifier.issn	0854-1388	-
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/75741
dc.description.abstract	A consistent kernel-type nonparametric estimator of the intensity function of a cyclic Poisson process in the presence of linear trend is constructed and investigated. It is assumed that only a single realization of \he Poisson process is observed in a bounded window. We prove that the propoeed estimator is consistent when the size of the window indefinitely expands.	en
dc.language.iso	id
dc.publisher	Indonesian Mathematical Society with partial supports from the Departments of Mathematics at Gadjah Mada University and Bandung Institute of Technology
dc.relation.ispartofseries	Vot 15,;No. l (2009), pp. 37-48.	-
dc.title	Consistency Of A Kernel-Type Estimator Of The Intencity Of The Cyclic Poisson Process With The Linear Trend	en
dc.subject.keyword	nonparametric estimator	en
Appears in Collections:	Faculty of Mathematics and Natural Sciences

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