NHPPREG: a computer program for the analysis of nonhomogeneous Poisson process data with covariates

A. Ciampi; G. Dougherty; Zhiyi Lou; A. Negassa; J. Grondin

doi:10.1016/0169-2607(92)90073-G

NHPPREG: a computer program for the analysis of nonhomogeneous Poisson process data with covariates

A. Ciampi, G. Dougherty, Zhiyi Lou, A. Negassa, J. Grondin

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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).

Original language	English (US)
Pages (from-to)	37-48
Number of pages	12
Journal	Computer Methods and Programs in Biomedicine
Volume	38
Issue number	1
DOIs	https://doi.org/10.1016/0169-2607(92)90073-G
State	Published - Jun 1992
Externally published	Yes

Keywords

Maximum likelihood estimate
Poisson point process
Repeated failures

ASJC Scopus subject areas

Software
Computer Science Applications
Health Informatics

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10.1016/0169-2607(92)90073-G

Cite this

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abstract = "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).",

keywords = "Maximum likelihood estimate, Poisson point process, Repeated failures",

author = "A. Ciampi and G. Dougherty and Zhiyi Lou and A. Negassa and J. Grondin",

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AU - Ciampi, A.

AU - Dougherty, G.

AU - Lou, Zhiyi

AU - Negassa, A.

AU - Grondin, J.

PY - 1992/6

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AB - 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).

KW - Maximum likelihood estimate

KW - Poisson point process

KW - Repeated failures

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NHPPREG: a computer program for the analysis of nonhomogeneous Poisson process data with covariates

Abstract

Keywords

ASJC Scopus subject areas

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