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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=106508"><dc:title>Analysing Country-Specific GDP Growth in Europe with Additive Models</dc:title><dc:creator>Pršlja,	Katarina	(Avtor)
	</dc:creator><dc:creator>Friedl,	Herwig	(Mentor)
	</dc:creator><dc:creator>Košir,	Tomaž	(Mentor)
	</dc:creator><dc:subject>regression</dc:subject><dc:subject>parametric models</dc:subject><dc:subject>additive models</dc:subject><dc:subject>estimator</dc:subject><dc:subject>smooth functions</dc:subject><dc:subject>interval</dc:subject><dc:subject>testing</dc:subject><dc:subject>matrix</dc:subject><dc:description>In this Master's thesis, we concentrate on regression models, where the final goal is to build an additive model. Further, the purpose of this model is to examine the relationship between the response variable GDP and relevant indicators having the influence on GDP. However, we first introduce linear models, since they are a theoretical foundation for constructing additive models. They are flexible because they do not impose a linear relationship between variables but rather describe it by some smooth function derived from the data. 
Later in the thesis, we try to make a forecast for the year 2016 based on some established model, because only data up to 2016 were available at the time of work creation.</dc:description><dc:date>2019</dc:date><dc:date>2019-02-28 07:45:24</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>106508</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
