01303pab a2200193 454500008004000000100002400040245007300064260000900137300001400146362000800160520071900168650001600887700002200903700002700925773002600952909001000978999001700988952010401005180718b2003   xxu||||| |||| 00| 0 eng d  aVenkataramaniah, M.  aComparison of forecasts using applied regression analysis techniques  c2003  ap.410-24.  aDec  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.  aForecasting  aBalasiddamuni, P.  aReddy, A. Rama Raghava  aAsian Economic Review  a59593  c59593d59593  00104070aIIPAbIIPAd2018-07-19hVolume no: 45, Issue no: 3pAR60038r2018-07-19w2018-07-19yAR