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基于ARIMA(p,1,q)过程的MMSE预测可靠性研究
引用本文:华中生,查迎春,张斌. 基于ARIMA(p,1,q)过程的MMSE预测可靠性研究[J]. 预测, 2007, 26(4): 59-63,80
作者姓名:华中生  查迎春  张斌
作者单位:中国科学技术大学,管理学院,安徽,合肥,230026
摘    要:现实中的决策大多建立在对数据的预测之上,但研究者通常很少涉及预测的不可靠性问题,而暗含假定预测是可靠的。基于目前预测残差为正态白噪声的预设,提出了预测可靠性的概念,以及预测可靠性的度量方法,同时以需求预测中常见的ARIMA(p,1,q)过程MMSE(最小均方差)预测为背景,分析了可靠性与预测精度的关系,以及模型参数对可靠性的影响,初步讨论了可靠性在预测期决策方面的作用。

关 键 词:预测  预测可靠性  预测期
文章编号:1003-5192(2007)04-0059-05
收稿时间:2006-10-26
修稿时间:2006-10-26

Reliability of MMSE Forecast Based on ARIMA(p,1,q)
HUA Zhong-sheng,ZHA Ying-chun,ZHANG Bin. Reliability of MMSE Forecast Based on ARIMA(p,1,q)[J]. Forecasting, 2007, 26(4): 59-63,80
Authors:HUA Zhong-sheng  ZHA Ying-chun  ZHANG Bin
Affiliation:School of Management, University Science of Technology of China, Hefei 230026, China
Abstract:Many real decision-making problems are modeled and solved on forecasting data.Despite the fact that almost all forecasts are unreliable,researchers rarely address it.This paper proposes the concept of forecast reliability,and new measurement for forecast reliability.Based on Autoregressive Integrated Moving Average(ARIMA) process and its Minimum Mean Square Error(MMSE) forecast,the paper compares forecast accuracy with forecast reliability,and analyzes the relationship between specific process parameters and reliability,and discusses the influence of reliability on decision-making on forecast horizon.
Keywords:ARIMA
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