Please use this identifier to cite or link to this item:
http://repository.ipb.ac.id/handle/123456789/27928
Title: | Statistical properties of a kernel-type estimator of the intensity function of a cyclic Poisson process |
Authors: | Roelof Helmers Mangku, I Wayan Ricardas Zitikis |
Issue Date: | 2010 |
Publisher: | IPB (Bogor Agricultural University) |
Abstract: | We consider a kernel-type nonparametric estimator of the intensity function of a cyclic Poisson process when the period is unknown. We assume that only a single realization of the Poisson process is observed in a bounded window which expands in time. We compute the asymptotic bias, variance, and the mean-squared error of the estimator when the window indefinitely expands. Author Keywords: Poisson process; Point process; Intensity function; Period; Nonparametric estimation; Consistency; Bias; Variance; Mean-squared error |
URI: | http://repository.ipb.ac.id/handle/123456789/27928 |
Appears in Collections: | Faculty of Mathematics and Natural Sciences |
Files in This Item:
File | Description | Size | Format | |
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b49.doc | Publikasi_Word | 17.69 kB | Microsoft Word | View/Open |
b49.pdf | Publikasi_pdf | 86.73 kB | Adobe PDF | ![]() View/Open |
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