Title: Generalized additive models: background, definitions, extensions
Language: English
Authors: Rieser, Christopher 
Qualification level: Diploma
Advisor: Filzmoser, Peter  
Issue Date: 2018
Citation: 
Rieser, C. (2018). Generalized additive models: background, definitions, extensions [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.56261
Number of Pages: 80
Qualification level: Diploma
Abstract: 
This thesis gives an extensive overview of generalized additive models withan outlook on their robustication. Chapter 1 shortly introduces the mainproblems with the linear model - with Gaussian errors. Chapter 2 considers additive models and generalized linear models.In Chapter 3 additive models and generalized linear models will be merged towhat is known as generalized additive models. Furthermore, we will discussone way of robustifying the latter and end with three illustrations of GAMs.
Keywords: Generalized linear models; nonlinear functions
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-116422
http://hdl.handle.net/20.500.12708/7036
DOI: 10.34726/hss.2018.56261
Library ID: AC15187139
Organisation: E105 - Institut für Stochastik und Wirtschaftsmathematik 
Publication Type: Thesis
Hochschulschrift
Appears in Collections:Thesis

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