NHPPREG - A COMPUTER-PROGRAM FOR THE ANALYSIS OF NONHOMOGENEOUS POISSON-PROCESS DATA WITH COVARIATES

被引：1
|
作者：
CIAMPI, A
DOUGHERTY, G
LOU, ZY
NEGASSA, A
GRONDIN, J
机构：
[1] McGill University-Montreal Children's Hospital Research Institute, Montreal
来源：
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1992年 / 38卷 / 01期
关键词：
POISSON POINT PROCESS; MAXIMUM LIKELIHOOD ESTIMATE; REPEATED FAILURES;
D O I：
10.1016/0169-2607(92)90073-G
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A program written in C is described which finds maximum likelihood estimates of regression coefficients and other relevant parameters for a point process with covariates. The data are assumed to come from a Poisson point process and may be modelled, at the user's choice, either totally parametrically or semi-parametrically. Furthermore, extra Poisson variation may be introduced, in both the parametric and semi-parametric approach, by the device of random effects. The work closely follows the theory developed by Lawless (1987).
引用
收藏
页码：37 / 48
页数：12
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