摘要
由于推导过程能力指数的统计分布通常是困难的,特别是对数据不服从正态分布和过程有偏离情形下过程能力指数的统计分布研究。文章给出了基于Boostrap重抽样技术的过程能力指数置信区间的大数据构建方法,该方法对构造过程能力指数的置信区间有一定自适应性和普适指导性,为正确理解与使用过程能力指数提供评判依据。
It is usually difficult to derive the statistical distribution of process capability index,especially when the data is not normally distributed and the process is deviated. In view of this,the paper presents big data method of constructing confidence interval of process capability index based on Boostrap re-sampling technique. The proposed method has certain adaptability and universality to construct the confidence interval of process capability index,providing a judgment basis for correctly understanding and using process capability index.
作者
王斌会
Wang Binhui(School of Management,Jinan University,Guangzhou 510632,China)
出处
《统计与决策》
CSSCI
北大核心
2019年第11期22-26,共5页
Statistics & Decision
基金
国家社会科学基金一般项目(16BTJ035)
广东自然科学基金资助项目(2016A030313108)
关键词
过程能力指数
统计推断
大数据方法
process ability index
statistical inference
big data method