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Parametric Versus Nonparametric Statistical Process Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F17%3A10237952" target="_blank" >RIV/61989100:27360/17:10237952 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2017/131.pdf" target="_blank" >http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2017/131.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2507/28th.daaam.proceedings.131" target="_blank" >10.2507/28th.daaam.proceedings.131</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parametric Versus Nonparametric Statistical Process Control

  • Original language description

    This paper represents the limitations of commonly used parametric methods of statistical process control, especially problems associated with the use of classical Shewhart control charts, and shows the benefits of non-parametric and robust control charts. The aim of this article is to define the various deviations from normality that cause problems in the use of classical parametric methods of statistical process control. Another goal is to define the differences between nonparametric and robust methods and to present these methods as one of the possibilities of solving the problems of normality violations. Finally, there is introduced the development and the future direction and robust nonparametric statistical process control.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    DAAAM : proceedings of the 28th DAAAM international symposium on intelligent manufacturing and automation : November 8-11, 2017, Zadar, Croatia

  • ISBN

    978-3-902734-11-2

  • ISSN

    1726-9679

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    944-949

  • Publisher name

    DAAAM International

  • Place of publication

    Vídeň

  • Event location

    Zadar

  • Event date

    Nov 8, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article