DocumentCode
3157022
Title
Weighted Least Square Estimate Method for Parameters of a Nonhomogeneous Poisson Process with Grouped Data
Author
Ao Liang ; Wang Qihua
Author_Institution
China Aero-Polytechnology Establ., Beijing, China
Volume
2
fYear
2010
fDate
12-14 Nov. 2010
Firstpage
106
Lastpage
109
Abstract
A weighted least square estimate method for parameters of a nonhomogeneous Poisson process with grouped data is established in this paper, the estimators are proved to be asymptotic unbiased using Gauss-Markov theorem, and the confidence limits of the parameters are obtained based on it.
Keywords
Gaussian processes; Markov processes; least squares approximations; maximum likelihood estimation; reliability theory; Gauss-Markov theorem; grouped data; nonhomogeneous Poisson process; weighted least square estimate method; Data models; Equations; Estimation; Least squares approximation; Mathematical model; Reliability theory; grouped data; nonhomogeneous Poisson process; weighted least square;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8664-9
Type
conf
DOI
10.1109/ICSEM.2010.117
Filename
5640265
Link To Document