The Study of Grey Forecasting in Replacement for Economic Forecasting Model

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Li-Chu Hung
{"title":"The Study of Grey Forecasting in Replacement for Economic Forecasting Model","authors":"Li-Chu Hung","doi":"10.30016/JGS.200706.0001","DOIUrl":null,"url":null,"abstract":"We examine the accuracy of the model with empirical study focusing on regression analysis in econometric model. Then we compare the result from the model and that from the four GM (1, 1) shadow models in grey forecast. To appraise the ability of the forecasting model, we use MAPE (Mean Absolute Percentage Error) to examine the accuracy of the model. We find all the MAPE values are between 10~20, which yield an excellent forecasting ability. Though the values forecasted by 4 GM (1, 1) shadow models are larger than those from the forecasting model built by this research, they are within the scope excellent forecasting ability to prove that we can replace econometric regression forecasting model with grey forecast partially.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"10 1","pages":"1-7"},"PeriodicalIF":1.0000,"publicationDate":"2007-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.200706.0001","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1

Abstract

We examine the accuracy of the model with empirical study focusing on regression analysis in econometric model. Then we compare the result from the model and that from the four GM (1, 1) shadow models in grey forecast. To appraise the ability of the forecasting model, we use MAPE (Mean Absolute Percentage Error) to examine the accuracy of the model. We find all the MAPE values are between 10~20, which yield an excellent forecasting ability. Though the values forecasted by 4 GM (1, 1) shadow models are larger than those from the forecasting model built by this research, they are within the scope excellent forecasting ability to prove that we can replace econometric regression forecasting model with grey forecast partially.
灰色预测替代经济预测模型的研究
以计量经济模型中的回归分析为重点,通过实证研究检验了模型的准确性。然后将该模型与四种GM(1,1)阴影模型的灰色预测结果进行了比较。为了评估预测模型的能力,我们使用MAPE(平均绝对百分比误差)来检验模型的准确性。我们发现所有的MAPE值都在10~20之间,具有很好的预测能力。虽然4个GM(1,1)影子模型的预测值比本研究建立的预测模型的预测值大,但都在较好的预测能力范围内,证明我们可以用灰色预测部分替代计量回归预测模型。
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 求助全文
来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信