About: USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES

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About: USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The article presents the modeling development of statistical and econometric structural parameters of average nominal wages in Slovak economy. SVMs are a set of related supervised learning methods that analyze data and recognize patterns. It is used for classification and regression analysis. These approaches model we used for automated specification of a functional form of the model. We provide the fit of average of nominal wage models based on Box-Jenkins methodology of time series analysis and a causal model to the data. Values are loaded from quarterly's data over the period 1991-2006. This model was used as a tool to compare its approximation and to forecast abilities with those obtained using SV regression method. The article presents the modeling development of statistical and econometric structural parameters of average nominal wages in Slovak economy. SVMs are a set of related supervised learning methods that analyze data and recognize patterns. It is used for classification and regression analysis. These approaches model we used for automated specification of a functional form of the model. We provide the fit of average of nominal wage models based on Box-Jenkins methodology of time series analysis and a causal model to the data. Values are loaded from quarterly's data over the period 1991-2006. This model was used as a tool to compare its approximation and to forecast abilities with those obtained using SV regression method. (en)
Title	USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES (en)
skos:prefLabel	USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES USING THE SVM LEARNING METHODOLOGY, BOX-JENKINS, CAUSAL MODELS AND EXPERIMENTING WITH NON-LINEAR SV REGRESSION TO FORECASTING WAGES (en)
skos:notation	RIV/63468352:_____/12:#0000156!RIV12-MSM-63468352
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Marček, Dušan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Evropský polytechnický institut, s.r.o. / (nerozlišená součást)
http://linked.open...dnocenehoVysledku	176570
http://linked.open...ai/riv/idVysledku	RIV/63468352:_____/12:#0000156
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Box-Jenkins Methodology, Mean Square Error, ARMA Processes, SV Regression, causal models (en)
http://linked.open.../riv/klicoveSlovo	ARMA Processes Box-Jenkins Methodology Mean Square Error SV Regression causal models
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[33E19B24D715]
http://linked.open...i/riv/nazevZdroje	Acta Moraviae Scientific journal for economics, management and informatics of European polytechnic institute, Ltd. in Kunovice
http://linked.open...in/vavai/riv/obor	AM
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	5
http://linked.open...iv/tvurceVysledku	Marček, Dušan
issn	1803-7607
number of pages	7 (xsd:int)

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