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Generalized Additive Models and its Application

Kroon, T.T. (2017) Generalized Additive Models and its Application. Bachelor's Thesis, Mathematics.

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Abstract

Generalized additive modeling is a semi-parametric method of regres- sion modeling. A generalized additive model is a generalized linear model in which the linear predictor depends linearly on unknown smooth func- tions of some predictor variables. The model allows for rather flexible specification of the dependence of the response on the covariates. The example about a common shrub in the Bryce Canyon National Park will demonstrate the potential benefits of using generalized additive models in comparison with generalized linear models. Our final goal was to apply generalized additive models to medical statistics and find new associa- tions. Unfortunately, no new significant association is found.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Mathematics
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 08:27
Last Modified: 15 Feb 2018 08:27
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/14996

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