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Method, apparatus, and program for generating prediction model based on multiple regression analysis

机译:基于多元回归分析的预测模型生成方法,装置及程序

摘要

An objective variable prediction model based on multiple regression analysis and having high prediction accuracy is generated by a computer. The method includes the steps of: a) constructing an initial sample set from samples whose measured value of an objective variable is known; b) obtaining a calculated value of the objective variable using multiple regression analysis; c) extracting samples whose difference between the measured and the calculated value is not larger than a first value, and calculating a determination coefficient by applying multiple regression analysis to the extracted samples; d) repeating the step c) by changing the first value until the determination coefficient exceeds a second value; and e) performing two-class classification to classify the sub-sample set obtained at the end of the step d) as a first sub-sample set and remaining samples as a second sub-sample set, and calculating a discriminant function.
机译:由计算机生成基于多元回归分析并且具有高预测精度的目标变量预测模型。该方法包括以下步骤:a)从其目标变量的测量值已知的样本中构建初始样本集; b)使用多元回归分析获得目标变量的计算值; c)提取测量值与计算值之差不大于第一值的样本,并对提取的样本进行多元回归分析,计算确定系数; d)通过改变第一值直到确定系数超过第二值来重复步骤c)。 e)执行两类分类,将在步骤d)结束时获得的子样本分类为第一子样本集合,其余样本作为第二子样本集合,并计算判别函数。

著录项

  • 公开/公告号US8255342B2

    专利类型

  • 公开/公告日2012-08-28

    原文格式PDF

  • 申请/专利权人 KOHTAROU YUTA;

    申请/专利号US20090585512

  • 发明设计人 KOHTAROU YUTA;

    申请日2009-09-16

  • 分类号G06F15/18;

  • 国家 US

  • 入库时间 2022-08-21 17:28:22

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