Comparison of forecasts using applied regression analysis techniques
By: Venkataramaniah, M.
Contributor(s): Balasiddamuni, P | Reddy, A. Rama Raghava.
Material type:
ArticlePublisher: 2003Description: p.410-24.Subject(s): Forecasting
In:
Asian Economic ReviewSummary: Forecasting 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.
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | Volume no: 45, Issue no: 3 | Available | AR60038 |
Forecasting 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.
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