Individual and combination approaches to forecasting hierarchical time series with correlated data: an empirical study

IF 3.6 2区管理学 Q2 BUSINESS

Journal of Management Analytics Pub Date : 2019-09-06 DOI:10.1080/23270012.2019.1629342

H. Rehman, Guohua Wan, A. Ullah, Badiea Shaukat

引用次数: 4

Abstract

Hierarchical time series arise in manufacturing and service industries when the products or services have the hierarchical structure, and top-down and bottom-up methods are commonly used to forecas...

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用相关数据预测分层时间序列的个体和组合方法：一项实证研究

当产品或服务具有层次结构时，制造业和服务业就会出现层次时间序列，通常使用自上而下和自下而上的方法来预测产品或服务的层次结构。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Management Analytics SOCIAL SCIENCES, MATHEMATICAL METHODS-

CiteScore

13.30

自引率

3.40%

发文量

期刊介绍： The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.

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