Review on the Current Stochastic Numerical Methods for Econometric Analysis

Lewis N. K. Mambo, R. M. Mabela, Jean-Pièrre B. Bosonga, Eugène M. Mbuyi
{"title":"Review on the Current Stochastic Numerical Methods for Econometric Analysis","authors":"Lewis N. K. Mambo, R. M. Mabela, Jean-Pièrre B. Bosonga, Eugène M. Mbuyi","doi":"10.4236/AJCM.2019.94024","DOIUrl":null,"url":null,"abstract":"The main aim of this paper is to present and emphasize the contribution of stochastic numerical methods as must tools for the modern econometric modelisation. Indeed, the stochastic numerical methods play an important role in mathematical modelling and the econometric analysis because they model uncertainties that govern the real-world data. However these powerful tools are not well-known and understood by many economists and financial econometricians.","PeriodicalId":64456,"journal":{"name":"美国计算数学期刊(英文)","volume":"9 1","pages":"328-347"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"美国计算数学期刊(英文)","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.4236/AJCM.2019.94024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The main aim of this paper is to present and emphasize the contribution of stochastic numerical methods as must tools for the modern econometric modelisation. Indeed, the stochastic numerical methods play an important role in mathematical modelling and the econometric analysis because they model uncertainties that govern the real-world data. However these powerful tools are not well-known and understood by many economists and financial econometricians.
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
当前计量经济学分析的随机数值方法综述
本文的主要目的是介绍和强调随机数值方法作为现代计量经济学建模的必要工具的贡献。事实上,随机数值方法在数学建模和计量经济学分析中发挥着重要作用,因为它们模拟了支配现实世界数据的不确定性。然而,这些强大的工具并没有被许多经济学家和金融计量经济学家所熟知和理解。
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
348
期刊最新文献
Diophantine Quotients and Remainders with Applications to Fermat and Pythagorean Equations Quantization of the Kinetic Energy of Deterministic Chaos On Fermat Last Theorem: The New Efficient Expression of a Hypothetical Solution as a Function of Its Fermat Divisors Analyzing Electric Circuits with Computer Algebra Arithmetic Operations of Generalized Trapezoidal Picture Fuzzy Numbers by Vertex Method
×
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