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A study of process monitoring based on inverse Gaussian distribution

  • Published:2014-10 Issue: Volume:76 Page:49-59
  • ISSN:0360-8352
  • Container-title:Computers & Industrial Engineering
  • language:en
  • Short-container-title:Computers & Industrial Engineering

Author:

Guo Baocai,Wang Bing Xing,Xie Min

Funder

National Social Science Foundation of China

Natural Science Foundation of China

Zhejiang Provincial Key Research Base for Humanities and Social Science Research (Statistics)

NSFC

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference37 articles.

1. Exponentially smoothed control charts for the inverse Gaussian process;Aminzadeh;Communications in Statistics—Theory and Methods,1993

2. Performance of t control charts in short runs with unknown shift sizes;Celano;Computers and Industrial Engineering,2013

3. Skewness correction X‾ and R charts for skewed distributions;Chan;Naval Research Logistics,2003

4. Comparisons of the symmetric and asymmetric control limits for X‾ and R charts;Chen;Computers and Industrial Engineering,2010

5. An ARL-unbiased design of time-between-events control charts with runs rules;Cheng;Journal of Statistical Computation and Simulation,2011

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