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Statistical Decisions in Quality Audits — a Possibilistic Interpretation of Single Statistical Tests

  • Olgierd Hryniewicz
Conference paper
Part of the Frontiers in Statistical Quality Control book series (FSQC, volume 7)

Abstract

Properties of statistical tests which are used in statistical quality control have very good interpretation in the case of sequences of similar tests, for example in the acceptance sampling of series of production lots. However, there is no convincing practical interpretation of test results when tests are performed only once, as in the case of the acceptance sampling of isolated lots. This happens especially in quality auditing, when auditors have to verify claims about declared quality levels using only the available statistical data. For such a case we propose a simple interpretation of tests results in terms of the theory of possibility [10]. Alternative hypotheses concerning the declared quality levels are validated using Possibility of Dominance (PD), Possibility of Strict Dominance (PSD), Necessity of Dominance (ND), and Necessity of Strict Dominance (NSD) indices.

Keywords

Quality Level Sampling Plan Quality Audit Possibility Distribution Statistical Quality Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Olgierd Hryniewicz
    • 1
  1. 1.Systems Research Institute of the Polish Academy of SciencesUniversity of Applied Informatics and ManagementWarsawPoland

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