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Generalized Additive Models

John M. Grego

Open publisher page 7 citations

Abstract

Abstract A Generalized Additive Model (GAM) is an extension of a generalized linear model (GLM) in which the expected value of a mean response, ⋼ = E( Y ), is linked to a set of additive nonparametric functions in the independent variables X 1 , hellip;, X p .

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What this paper is about

Abstract A Generalized Additive Model (GAM) is an extension of a generalized linear model (GLM) in which the expected value of a mean response, ⋼ = E( Y ), is linked to a set of additive nonparametric functions in the independent variables X 1 , hellip;, X p .

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Available abstract

Abstract A Generalized Additive Model (GAM) is an extension of a generalized linear model (GLM) in which the expected value of a mean response, ⋼ = E( Y ), is linked to a set of additive nonparametric functions in the independent variables X 1 , hellip;, X p .

Key concepts: Generalized additive model, Generalized linear model, Additive model, Mathematics, Generalized linear mixed model, Nonparametric statistics, Extension (predicate logic), Additive function

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