Journal Published Online: 01 September 1995
Volume 23, Issue 5

Structure and Outliers in Interlaboratory Studies



The current statistical analysis of interlaboratory test data involves tests of significance for outliers. In this paper we show that the use of tests of significance is faulty and we propose instead an analysis according to a row-linear model. This approach involves an examination of straight lines fitted by least squares for all laboratories against the averages over all laboratories for each level in the two-way table. By this method, a laboratory can be judged both in terms of the position of its response line when compared to other laboratories, as well as in terms of the residuals of the observed measurements from the fitted line.

Author Information

Mandel, J
Chemical Science and Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD
Pages: 6
Price: $25.00
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Stock #: JTE11406J
ISSN: 0090-3973
DOI: 10.1520/JTE11406J