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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F12%3A%230000156" target="_blank" >RIV/63468352:_____/12:#0000156 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 forclassification 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 forclassification 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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AM - Pedagogika a školství

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Moraviae Scientific journal for economics, management and informatics of European polytechnic institute, Ltd. in Kunovice

ISSN

1803-7607

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

101-107

Kód UT WoS článku

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EID výsledku v databázi Scopus

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