Forecasting with the enhanced stepwise data adjustment regression method

機構典藏 > College of Business and Management > Department of Management Sciences > Journal Article > Item 987654321/20083

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Title:	Forecasting with the enhanced stepwise data adjustment regression method
Authors:	張紘炬;Chang, Horng-jinh;Lin, Feng-jeng
Contributors:	淡江大學經營決策學系
Keywords:	ESDAR method;measurement data;base value;UI algorithm;flag
Date:	1998-11
Issue Date:	2009-11-30 12:32:56 (UTC+8)
Publisher:	World Scientific Publishing
Abstract:	Forecasting is one of the most pervasive elements of managerial decision-making. In many industries, it plays an important role in business and facilities. One technique used to develop forecasts is the ESDAR (Enhanced Stepwise Data Adjustment Regression) method for dealing with the response variables. It upgrades the concept for adding adjustment idea to the fitting process on regression by using the Unit Increment algorithm for calculating the more reliable base values and considering the periodic factor into forecasting values. A brief outline of ESDAR method is presented. The concept and process are explained. Some examples for international telecommunication traffic loads forecasting to demonstrate its superiority are presented.
Relation:	Asia-pacific journal of operational research 15(2), pp.225-238
Appears in Collections:	[Department of Management Sciences] Journal Article

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