About: COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING     Goto   Sponge   NotDistinct   Permalink

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  • We investigate the quantifying of statistical and econometric structural model parameters of average nominal wages in Slovak economy. SVM´s modelling approaches are used for automated specification of a functional form of the model. We provide the fit of average nominal wages models based on Box-Jenkins methodology and a causal model to the quarterly data over the period 1991-2006 in the Slovak Republic. We use this model as a tool to compare its approximation and forecasting abilities with those obtained using SV regression´s method.
  • We investigate the quantifying of statistical and econometric structural model parameters of average nominal wages in Slovak economy. SVM´s modelling approaches are used for automated specification of a functional form of the model. We provide the fit of average nominal wages models based on Box-Jenkins methodology and a causal model to the quarterly data over the period 1991-2006 in the Slovak Republic. We use this model as a tool to compare its approximation and forecasting abilities with those obtained using SV regression´s method. (en)
Title
  • COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING
  • COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING (en)
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  • COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING
  • COMPARISON OF AN ARMA MODEL VS. OF SVM AND CAUSAL MODELS APPLIED TO WAGES TIME SERIES MODELING AND FORECASTING (en)
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  • RIV/63468352:_____/11:#0000131!RIV11-MSM-63468352
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  • RIV/63468352:_____/11:#0000131
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  • ARMA Processes, Mean Square Error, Box-Jenkins Methodology, SV Regression, causal models (en)
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  • [7A276D041169]
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  • Horváth, Marek
  • Marček, Dušan
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