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Non-parametric Statistical Methods for Quality Improvement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F21%3A10248782" target="_blank" >RIV/61989100:27350/21:10248782 - isvavai.cz</a>

  • Result on the web

    <a href="http://mtp.euke.sk/wp-content/uploads/2021/08/MTP-2_2021.pdf" target="_blank" >http://mtp.euke.sk/wp-content/uploads/2021/08/MTP-2_2021.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Non-parametric Statistical Methods for Quality Improvement

  • Original language description

    Using statistical methods, companies increase their competitiveness. Properly chosen statistical methods are an important helper for companies in determining the current market situation, and help in planning new projects that are yet to take place. The article will focus on the use of statistical methods in enterprises, specifically the paper will briefly describe the non-parametric statistical method. Due to the scope of this paper, only the most used nonparametric statistical methods from the field of testing statistical hypotheses will be presented. Furthermore, the paper will describe the advantages and disadvantages of nonparametric tests, an example of one of the nonparametric statistical methods will be addressed. Subsequently, the paper will describe how non-parametric methods can be used in quality management.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Manažment v teórii a praxi

  • ISSN

    1336-7137

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    červen

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    5

  • Pages from-to

    18-22

  • UT code for WoS article

  • EID of the result in the Scopus database