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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1993-2-2
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pubmed:abstractText |
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).
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
0169-2607
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
38
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
37-48
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading | |
pubmed:year |
1992
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pubmed:articleTitle |
NHPPREG: a computer program for the analysis of nonhomogeneous Poisson process data with covariates.
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pubmed:affiliation |
McGill University, Montreal Children's Hospital Research Institute, Canada.
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pubmed:publicationType |
Journal Article
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