DSpace DSpace 日本語
 

AIT Associated Repository of Academic Resources >
A.研究報告 >
A1 愛知工業大学研究報告 >
3.愛知工業大学研究報告 .B(1976-2007) >
23号 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11133/770

Title: 需要予測における季節変動の統計的考察
Other Titles: ジュヨウ ヨソク ニオケル キセツ ヘンドウ ノ トウケイテキ コウサツ
Statistical Considerations of Seasonal Movement in Demand Forecast
Authors: 橋本, 郁郎
HASHIMOTO, Ikuro
Issue Date: 31-Mar-1988
Publisher: 愛知工業大学
Abstract: A demand forecast plays a very important role in modern management. The time series data analysis is one of the techniques used in demand forecasting. This analytical method consists of trend in movement, cyclical movement, seasonal movement and irregular component of demand. There have been several analytical methods available to deal with seasonal movement. The present study discusses statistical considerations on a seasonal distinction average method, link relatives method, moving average ratio method and sequential forecast method. The amounts sold by the department stores were used to show numerical examples. As the results of caliculations, obtained probabilities for the forecast error, observing the ±5% level of forecasting accuracy, are 0.606,0.648,0.653 and 0.627 respectively.
URI: http://hdl.handle.net/11133/770
Appears in Collections:23号

Files in This Item:

File Description SizeFormat
紀要23号B(P149-156).pdf677.87 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback