Variable Selection in Generalized Linear Models

Ch. Kredler; L. Fahrmeier

doi:10.1007/978-3-642-51461-6_43

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Variable Selection in Generalized Linear Models

Ch. Kredler L. Fahrmeier

Year: 1982 Pages: 294-299

DOI: 10.1007/978-3-642-51461-6_43

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Abstract

Quadratic approximations of the log — likelihood function of multivariate generalized linear models are discussed and an upper bound for the truncation error is given. Then well known variable selection procedures are applied to the resulting linear models.

Keywords:

Generalized linear model Mathematics Applied mathematics Selection (genetic algorithm) Multivariate statistics Truncation (statistics) Variable (mathematics) Quadratic equation Linear model Generalized linear mixed model Statistics Computer science Mathematical analysis Artificial intelligence

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Soil Geostatistics and Mapping

Physical Sciences → Environmental Science → Environmental Engineering

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Variable Selection in Generalized Linear Models

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