Determination of Exponential Smoothing Constant to Minimize Mean Square Error and Mean Absolute Deviation

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Dr. Sanjoy Kumar Paul
Dr. Sanjoy Kumar Paul
1 Bangladesh University of Engineering and Technology

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Exponential smoothing technique is one of the most important quantitative techniques in
forecasting.The accuracy of forecasting of this technique depends on exponential smoothing constant.Choosing an appropriate value of exponential smoothing constant is very crucial to minimize the error in forecasting. This paper addresses the selection of optimal value of exponential smoothing constant to minimize the mean square error (MSE) and mean absolute deviation (MAD). Trial and error method is used to determine the optimal value of exponential smoothing constant. An example is presented to discuss the method.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Dr. Sanjoy Kumar Paul. 1970. \u201cDetermination of Exponential Smoothing Constant to Minimize Mean Square Error and Mean Absolute Deviation\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 11 (GJRE Volume 11 Issue J3): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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Determination of Exponential Smoothing Constant to Minimize Mean Square Error and Mean Absolute Deviation

Dr. Sanjoy Kumar Paul
Dr. Sanjoy Kumar Paul Bangladesh University of Engineering and Technology

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