基于多元线性回归的区域物流需求组合预测方法  

Method for Combination Forecasting of Regional Logistics Demand Based on Multiple Linear Regression

作　　者：毛敏[1] 刘建[1] 

机构地区：[1]西南交通大学交通运输与物流学院,四川成都610031

出　　处：《物流技术》2015年第7期163-165,共3页Logistics Technology

摘　　要：基于多元线性回归思路,以历史数据为基础,以总误差之和最小为目标函数,提出一种求取组合预测中不同预测方法权重的定量方法,并以实例说明了基于多元线性回归组合预测的合理性与先进性。In this paper, based on the multiple linear regression process and historical data and with the minimization of the sum of the total errors, we proposed a quantitative method to determine the weight of the different forecasting methods in the combination forecasting model, and then, in connection with an empirical case, proved the reasonability and superiority of the combination forecasting method based on multiple linear regression.

关 键 词：多元线性回归 权重 物流需求预测 组合预测 

分 类 号：F259.27[经济管理—国民经济] F224