Total Vehicle Sales Forecast - 7 Angebote vergleichen

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buecher.de GmbH & Co. KG, [1].
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.2014. 52 S. 2 Farbabb. 210 mmVersandfertig in 3-5 Tagen, Softcover.

Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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.

Lieferung aus: Deutschland, zzgl. Versandkosten.
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.

Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - 52 pp. Englisch.

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Alexander Hardt,Paperback, English-language edition,Pub by GRIN Verlag GmbH.