ARMA时间序列模型在销售预测中的应用

党姬男

电脑与电信 ›› 2009, Vol. 1 ›› Issue (4) : 55-57.

电脑与电信 ›› 2009, Vol. 1 ›› Issue (4) : 55-57.
应用技术与研究

ARMA时间序列模型在销售预测中的应用

  • 党姬男
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Application of ARMA Time Series Model in Sale Forecasting

  • Dang Jinan
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摘要

时间序列分析是经济领域应用研究最广泛的工具之一,它用恰当的模型描述历史数据随时间变化的规律,并分析预测变量值。ARMA模型是一种最常见的重要时间序列模型,它被广泛应用到经济领域预测中。本文给出ARMA模型的三种模式和实现方法,然后结合超市销售数据揭示超市销售的规律性,并运用ARMA模型对超市销售量进行预测。

Abstract

Time series analysis is one of the most widely used tools in the economic application research field.It describes the rule of the history data with the appropriate model,and analyses the value of the forecasted variables.ARMA model is the most common and important time series model and it is widely used in the forecast of economic field.This paper gives out three models and implementations of the ARMA model,shows out the rules of saling by the sales data of supermarket,and then uses the model to forecast the supermarket sales.

关键词

ARMA模型 / 时间序列 / 预测

Key words

ARMA model / time series / forecast

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导出引用
党姬男. ARMA时间序列模型在销售预测中的应用[J]. 电脑与电信. 2009, 1(4): 55-57
Dang Jinan. Application of ARMA Time Series Model in Sale Forecasting[J]. Computer & Telecommunication. 2009, 1(4): 55-57

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