Determination of Optimal Smoothing Constants for Holt - Winter’s Multiplicative Method

M. N. Dhali, Nandita Barman, M. B. Hasan
{"title":"Determination of Optimal Smoothing Constants for Holt - Winter’s Multiplicative Method","authors":"M. N. Dhali, Nandita Barman, M. B. Hasan","doi":"10.3329/dujs.v67i2.54580","DOIUrl":null,"url":null,"abstract":"There are many trade time series parade having seasonality. This paper ponders on taking the appropriate smoothing constants of seasonal time series data using Holt-Winter’s exponential smoothing method in demand forecasting of toy production in a company. It is a quantitative technique in forecasting. This forecasting method is used three constants that assign weights to current demands and previous forecasts to decide on a new forecast. We have demonstrated the techniques how to choose these constants by presenting a real life example and calculated corresponding forecast value of this technique for the optimal smoothing constants. Dhaka Univ. J. Sci. 67(2): 99-104, 2019 (July)","PeriodicalId":11280,"journal":{"name":"Dhaka University Journal of Science","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dhaka University Journal of Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/dujs.v67i2.54580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

There are many trade time series parade having seasonality. This paper ponders on taking the appropriate smoothing constants of seasonal time series data using Holt-Winter’s exponential smoothing method in demand forecasting of toy production in a company. It is a quantitative technique in forecasting. This forecasting method is used three constants that assign weights to current demands and previous forecasts to decide on a new forecast. We have demonstrated the techniques how to choose these constants by presenting a real life example and calculated corresponding forecast value of this technique for the optimal smoothing constants. Dhaka Univ. J. Sci. 67(2): 99-104, 2019 (July)
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Holt - Winter乘法法最优平滑常数的确定
有许多贸易时间序列游行具有季节性。本文探讨了利用Holt-Winter指数平滑法对季节时间序列数据选取合适的平滑常数进行玩具生产需求预测的问题。这是一种定量预测技术。这种预测方法使用三个常量,为当前需求和以前的预测分配权重,以确定新的预测。通过一个实际的例子说明了如何选择这些常数的技术,并计算了该技术对最佳平滑常数的相应预测值。达卡大学学报(自然科学版),67(2):99-104,2019 (7)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Covid-19 Pandemic and Pre-pandemic Economic Shocks to Brazil, India, and Mexico: A Forecast Comparison Evaluating the Impact and Recovery New Traveling Wave Solutions to the Simplified Modified Camassa–Holm Equation and the Landau-Ginsburg-Higgs Equation Phytochemical Investigation and Biological Studies of Coffea benghalensis B. Heyne Ex Schult Synthesis and Characterization of Vanadium Doped Hexagonal Rubidium Tungsten Bronze Preparation and Characterization of Porous Carbon Material from Banana Pseudo-Stem
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1