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<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-j-general-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - J: General Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">72940</article-id>
<title-group>
<article-title>Determination of Exponential Smoothing Constant to Minimize Mean Square Error and Mean Absolute Deviation</article-title>
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<contrib-group>
<contrib contrib-type="author"><name><surname>Paul</surname><given-names>Dr. Sanjoy Kumar</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">BANGLADESH, Bangladesh University of Engineering and Technology</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2011-03-01">
<day>01</day>
<month>03</month>
<year>2011</year>
</pub-date>
<volume>11</volume>
<issue>3</issue>
<fpage>31</fpage>
<lpage>34</lpage>
<abstract><p>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.</p></abstract>
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<p>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.</p>
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