Claims severity modelling on the basis of publicly available vehicle insurance data

dc.contributor.advisorKäärik, Meelis, juhendaja
dc.contributor.authorLupul, Nicholas
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Matemaatika ja statistika instituutet
dc.date.accessioned2023-06-27T12:29:46Z
dc.date.available2023-06-27T12:29:46Z
dc.date.issued2023
dc.description.abstractThe purpose of this master’s thesis is to establish a baseline for what data potential new vehicle insurance providers should collect in order to establish models for claim size. An additional goal was to gather publicly available insurance data sets suitable for modelling claim size and provide an overview of these data sets. The first chapter is used to refresh the reader’s knowledge of generalized linear models. In the second chapter the framework around which the analysis was conducted is introduced and the procedure for the analysis is detailed. The data sets used in the analysis are introduced in chapter three. Chapter four is used to present top models for each data set. The final chapter compares and highlights similarities between top models across the various data sets.en
dc.identifier.urihttps://hdl.handle.net/10062/91076
dc.language.isoenget
dc.rightsopenAccess*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectgeneralized additive models for location scale and shapeen
dc.subjectüldistatud aditiivsed mudelidet
dc.subjectmootorsõiduki kindlustuset
dc.subjectmotor vehicle insuranceen
dc.subject.otherR (programmeerimiskeel)et
dc.subject.otherR (programming language)en
dc.subject.otherüldistatud lineaarsed mudelidet
dc.subject.othergeneralized linear modelsen
dc.titleClaims severity modelling on the basis of publicly available vehicle insurance dataen
dc.typeinfo:eu-repo/semantics/masterThesiset

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