Literature DB >> 9105259

The EWMA control chart: properties and comparison with other quality-control procedures by computer simulation.

A S Neubauer1.   

Abstract

A quality-control chart based on exponentially weighted moving averages (EWMA) has, in the past few years, become a popular tool for controlling inaccuracy in industrial quality control. In this paper, I explain the principles of this technique, present some numerical examples, and by computer simulation compare EWMA with other control charts currently used in clinical chemistry. The EWMA chart offers a flexible instrument for visualizing imprecision and inaccuracy and is a good alternative to other charts for detecting inaccuracy, especially where small shifts are of interest. Detection of imprecision with EWMA charts, however, requires special modification.

Mesh:

Year:  1997        PMID: 9105259

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  4 in total

1.  Comparing exponentially weighted moving average and run rules in process control of semiquantitative immunogenicity immunoassays.

Authors:  Troy E Barger; Lei Zhou; Michael Hale; Michael Moxness; Steven J Swanson; Narendra Chirmule
Journal:  AAPS J       Date:  2009-12-10       Impact factor: 4.009

2.  A method for detecting and characterizing outbreaks of infectious disease from clinical reports.

Authors:  Gregory F Cooper; Ricardo Villamarin; Fu-Chiang Rich Tsui; Nicholas Millett; Jeremy U Espino; Michael M Wagner
Journal:  J Biomed Inform       Date:  2014-08-30       Impact factor: 6.317

3.  A study of the transferability of influenza case detection systems between two large healthcare systems.

Authors:  Ye Ye; Michael M Wagner; Gregory F Cooper; Jeffrey P Ferraro; Howard Su; Per H Gesteland; Peter J Haug; Nicholas E Millett; John M Aronis; Andrew J Nowalk; Victor M Ruiz; Arturo López Pineda; Lingyun Shi; Rudy Van Bree; Thomas Ginter; Fuchiang Tsui
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

4.  Early Detection of SARS-CoV-2 Epidemic Waves: Lessons from the Syndromic Surveillance in Lombardy, Italy.

Authors:  Giorgio Bagarella; Mauro Maistrello; Maddalena Minoja; Olivia Leoni; Francesco Bortolan; Danilo Cereda; Giovanni Corrao
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

  4 in total

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