Project Report from the year 2013 in the subject Economics - Statistics and Methods, grade: 1,0, , course: ECO 309, language: English, abstract: For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing, decomposition, ARIMA, and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter's exponential smoothing method because it had the lowest MAPE along with the lowest RMSE for the fit period as well as the forecast period.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Project Report from the year 2013 in the subject Economics - Statistics and Methods, grade: 1,0, , course: ECO 309, language: English, abstract: For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing, decomposition, ARIMA, and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter's exponential smoothing method because it had the lowest MAPE along with the lowest RMSE for the fit period as well as the forecast period. 52 pp. Englisch. N° de réf. du vendeur 9783656735601
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Project Report from the year 2013 in the subject Economics - Statistics and Methods, grade: 1,0, , course: ECO 309, language: English, abstract: For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing, decomposition, ARIMA, and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter's exponential smoothing method because it had the lowest MAPE along with the lowest RMSE for the fit period as well as the forecast period. N° de réf. du vendeur 9783656735601
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Taschenbuch. Etat : Neu. Total Vehicle Sales Forecast | ECO 309 Economic Forecasting Final Project | Alexander Hardt | Taschenbuch | Aus der Reihe: [.] stipendiaten-wissen | 52 S. | Englisch | 2014 | GRIN Verlag | EAN 9783656735601 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105141318
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