Abstract
When a single specimen is divided into samples and sent to different laboratories for analysis, it often happens that a few of the laboratories obtain results that consistently are discrepant from the others. Using an additive model, we propose a new approach based on ordering and selection principles to detect and remove the discrepant laboratories. Parameters are then estimated using the remaining laboratories.
This work was supported in part by National Science Foundation Grants DMS 84-11411 and MCS 82-02247.
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References
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© 1987 Springer Science+Business Media Dordrecht
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Olkin, I., Sobel, M. (1987). A Model for Interlaboratory Differences. In: Gupta, A.K. (eds) Advances in Multivariate Statistical Analysis. Theory and Decision Library, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0653-7_16
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DOI: https://doi.org/10.1007/978-94-017-0653-7_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-8439-2
Online ISBN: 978-94-017-0653-7
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