Strong Consistency of a Kernel-type Estimator for the Intensity Obtained as the Product of a Periodic Function with the Power Function Trend of a Non-homogeneous Poisson Process

Maulidi, Ikhsan and Mangku, I and Sumarno, Hadi (2015) Strong Consistency of a Kernel-type Estimator for the Intensity Obtained as the Product of a Periodic Function with the Power Function Trend of a Non-homogeneous Poisson Process. British Journal of Applied Science & Technology, 9 (4). pp. 383-387. ISSN 22310843

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Official URL: https://doi.org/10.9734/BJAST/2015/17391

Abstract

In [1], a kernel-type estimator for the intensity obtained as the product of a periodic function with the power function trend of a non-homogeneous Poisson process has been formulated. In addition, asymptotic approximations to the bias, variance and mean squared error of this estimator have been established. In this paper, we construct a proof of strong consistency of the estimator proposed in [1].

Item Type:	Article
Subjects:	Digital Open Archives > Multidisciplinary
Depositing User:	Unnamed user with email support@digiopenarchives.com
Date Deposited:	08 Jun 2023 12:53
Last Modified:	19 Oct 2024 03:58
URI:	http://geographical.openuniversityarchive.com/id/eprint/1394

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