基于分位数回归方法的函数型数据在线控制图
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  • 英文篇名:On-line monitoring linear profiles with a control chart based on quantile regression
  • 作者:张秀玲 ; 訾雪旻
  • 英文作者:ZHANG Xiu-ling;ZI Xue-min;School of Science,Tianjin University of Technology and Education;
  • 关键词:一般线性函数型模型 ; 分位数回归 ; 多元指数加权移动平均 ; 控制图 ; 平均运行长度
  • 英文关键词:general linear profile model;;quantile regression;;MEWMA;;control chart;;average run length
  • 中文刊名:TJJB
  • 英文刊名:Journal of Tianjin University of Technology and Education
  • 机构:天津职业技术师范大学理学院;
  • 出版日期:2019-06-28
  • 出版单位:天津职业技术师范大学学报
  • 年:2019
  • 期:v.29;No.99
  • 基金:国家自然科学基金面上项目(11771332)
  • 语种:中文;
  • 页:TJJB201902005
  • 页数:4
  • CN:02
  • ISSN:12-1423/Z
  • 分类号:29-32
摘要
利用函数型数据刻画产品的某些特性是目前统计质量控制研究中非常流行的方法。文章讨论了带有独立同分布随机项的一般线性函数型模型,基于分位数回归方法在线监控截距和斜率中位数。结合多元指数加权移动平均控制图,给出一种新的函数型数据在线监控控制图,通过模拟研究给出控制图的可控平均运行长度,并验证了在模型系数发生漂移的情况下控制图的有效性。
        Characterizing certain properties of products by linear profiles is a very popular method in statistical quality control research. The paper examines a general linear profile model with independent and identically distributed random variables,and monitors the intercept and slope median online based on quantile regression. Multivariate exponentially weighted moving average(MEWMA) control chart is also used to propose new on-line monitoring linear profiles with a control chart. This paper also proposes in-control average run length of the control chart by means of simulation study,and verifies the effectiveness of the control chart in case of shifts in the model coefficient.
引文
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