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Using mixture models for bump-hunting in the results of proficiency tests

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Abstract

The interpretation of the results of proficiency tests by the use of mixture models is described. The data are interpreted as a sample from a mixture of several normal populations. The calculation of the statistics (the means, variances and proportions of each component) is accomplished by means of the ‘EM’ algorithm. The method has several advantages over those previously advanced, principally that the algorithm is fast and easy to execute. Examples from proficiency testing are discussed.

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Authors and Affiliations

  1. School of Biological and Chemical Sciences, Birkbeck College (University of London), Malet Street, London, WC1E 7HX, UK

    Michael Thompson

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  1. Michael Thompson
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Correspondence to Michael Thompson.

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Thompson, M. Using mixture models for bump-hunting in the results of proficiency tests. Accred Qual Assur 10, 501–505 (2006). https://doi.org/10.1007/s00769-005-0053-0

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  • DOI: https://doi.org/10.1007/s00769-005-0053-0

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