A simple integer-valued bilinear time series model

被引:33
|
作者
Doukhan, P
Latour, A
Oraichi, D
机构
[1] CREST, Stat Lab, F-92240 Malakoff, France
[2] Univ Pierre Mendes France, Lab Stat & Anal Donnees, F-38040 Grenoble 09, France
[3] CHU St Justine, Ctr Rech, Montreal, PQ H3T 1C5, Canada
关键词
integer-valued process; bilinear model;
D O I
10.1239/aap/1151337085
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we extend the integer-valued model class to give a nonnegative integer-valued bilinear process, denoted by INBL(p, q, m, n), similar to the real-valued bilinear model. We demonstrate the existence of this strictly stationary process and give an existence condition for it. The estimation problem is discussed in the context of a particular simple case. The method of moments is applied and the asymptotic joint distribution of the estimators is given: it turns out to be a normal distribution. We present numerical examples and applications of the model to real time series data on meningitis and Escherichia coli infections.
引用
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页码:559 / 578
页数:20
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