000			01187pab a2200181 454500
008			180718b2003 xxu||||| |||| 00| 0 eng d
100			_aVenkataramaniah, M.
245			_aComparison of forecasts using applied regression analysis techniques
260			_c2003
300			_ap.410-24.
362			_aDec
520			_aForecasting is the prediction of the variable based on known past values of it or other related variables. After estimation of parameters of the regression model of the most common use of regression is for prediction or forecasting. Data on sugar production from S.V. Sugar Factory Ltd., Tirupati was collected and analysed through different forecasting techniques like Simple Linear Regression Method and Holt's Exponential Smoothing Method. The results of these techniques were compared by using the criteria of Mean Absolute Error (MAE) measure to arrive at the final conclusion. The simple non-linear forecasting method, was found to be the optimum technique for forecasting in the present study. - Reproduced.
650			_aForecasting
700			_aBalasiddamuni, P.
700			_aReddy, A. Rama Raghava
773			_aAsian Economic Review
909			_a59593
999			_c59593 _d59593