首页> 外国专利> MODELING CAUSAL FACTORS WITH SEASONAL PATTTERNS IN A CAUSAL PRODUCT DEMAND FORECASTING SYSTEM

MODELING CAUSAL FACTORS WITH SEASONAL PATTTERNS IN A CAUSAL PRODUCT DEMAND FORECASTING SYSTEM

机译:在因果产品需求预测系统中使用季节模式建模因果因子

摘要

A method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. In order to better predict product demand changes associated with causal variables having seasonal patterns, such as temperature, the method and system include a technique for removing the seasonal variation of causal variables, i.e., to de-seasonalize the causal factors. The de-seasonalized causal variables are utilized within the causal methodology to generate product demand forecasts.
机译:一种基于因果方法的基于多种回归技术的产品需求预测方法和系统。为了更好地预测与具有诸如温度的季节性模式的因果变量相关联的产品需求变化,该方法和系统包括一种用于消除因果变量的季节性变化的技术,即,使因果因子反季节化。在因果方法中利用了反季节因果变量来生成产品需求预测。

著录项

  • 公开/公告号US2011047004A1

    专利类型

  • 公开/公告日2011-02-24

    原文格式PDF

  • 申请/专利权人 ARASH BATENI;EDWARD KIM;

    申请/专利号US20090545263

  • 发明设计人 EDWARD KIM;ARASH BATENI;

    申请日2009-08-21

  • 分类号G06Q10/00;

  • 国家 US

  • 入库时间 2022-08-21 18:13:05

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