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18 other sections not shown Common terms and phrasesaccuracy actual adaptive filtering approach appropriate ARMA models ARRSES assessments autocorrelation coefficients Box-Jenkins calculated Chapter CM CM computed correlation cost cross autos cycle cyclical data of Table decision analysis described determine developed differencing different from zero econometric models economic error estimates example expected value F-test factors forecasting methods function future identify impulse response independent variables involved Kalman filters linear exponential smoothing MARMA mean squared error methodology methods of forecasting months moving average multicollinearity multiple regression obtained organization parameter values partial autocorrelations pattern planning predict problem procedure quantitative forecasting random ratio regression analysis regression equation relationship relevance trees residuals sample seasonally adjusted shown in Figure shown in Table significantly different single exponential smoothing situation smoothing methods specific standard stationary statistical techniques technological forecasting time-series time-series analysis trend trend-cycle users variance variation Wheelwright References to this bookFrom other books
From Google ScholarForecasting with artificial neural networks: The state of the artGuoqiang Zhang, B Eddy Patuwo, Michael Y. Hu - 1998 - International Journal of Forecasting The accuracy of extrapolation (time series) methods: Results of a ...S Makridakis, A Andersen, R Carbone, R Fildes, M Hibon, R Lewandowski, J Newton, E Parzen, R Winkler - 1982 - Journal of Forecasting Telephone Call Centers: Tutorial, Review, and Research ProspectsNoah Gans, Ger Koole, Avishai Mandelbaum Neural Networks for Short-Term Load Forecasting: A Review and ...Henrique Steinherz Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza - 2001 - IEEE TRANSACTIONS ON POWER SYSTEMS References from web pagesInternational Journal of Forecasting : Forecasting: Methods and ... Forecasting: Methods and Applications, 3d Ed Forecasting: Methods and applications (Second Edition), Makridakis ... JSTOR: Forecasting: Methods and Applications. Forecasting: Methods and Applications. | Science & Technology ... Forecasting Methods and Applications Forecasting: Methods and Applications Product Demand Forecasting with a Novel Fuzzy CMAC Book 1.indb Time Series Analysis and Forecasting 2nd Ed.- References Bibliographic information |