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Autor(en): 
  • Agung I. Gusti Ngurah
  • Advanced Time Series Data Analysis: Forecasting Using EViews 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2019  
    Genre:  Schulbücher 
     
    Bayesian forecast models / Business Forecasting / Econometrics / economic forecasting / Economics / finance forecasting / Finanz- u. Wirtschaftsstatistik / forecast values beyond the sample period
    ISBN:  9781119504719 
    EAN-Code: 
    9781119504719 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 257 mm / B 175 mm / D 33 mm 
    Gewicht:  1043 gr 
    Seiten:  544 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Introduces the Latest Developments in Forecasting in Advanced Quantitative Data Analysis This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variable, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable. Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annual time series. Each of the models can be applied by all quantitative researchers. * Presents models that are all classroom tested * Contains real-life data samples * Contains over 350 equation specifications of various time series models * Contains over 200 illustrative examples with special notes and comments * Applicable for time series data of all quantitative studies Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding of forecasting, specifically the uncertainty of forecast values.
      



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