Application of the Weisberg t-test for outliers
Seely, Robert J, Munyakazi, Louis, Haury, John, Simmerman, Heather
Published in Pharmaceutical technology Europe (01.10.2003)
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Published in Pharmaceutical technology Europe (01.10.2003)
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A rational, step-wise approach to process characterization
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Application of the Weisberg t-test for outliers: determining whether a data point is an "outlier"--a result that does not fit, is too high or too low, is extreme or discordant--is difficult when using small data sets, such as the data from three, four or five conformance runs. in this article, the authors demonstrate that the Weisberg t-test is a powerful tool for detecting deviations in small data sets
Seely, Robert J, Munyakazi, Louis, Haury, John, Simmerman, Heather, Rushing, W. Heath, Curry, Thomas F
Published in Pharmaceutical technology Europe (01.10.2003)
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Published in Pharmaceutical technology Europe (01.10.2003)
Journal Article
Demonstrating the consistency of small data sets: application of the Weisberg t-test for outliers
Seely, Robert J, Munyakazi, Louis, Haury, John, Simmerman, Heather, Rushing, W. Heath, Curry, Thomas F
Published in Biopharm International (01.05.2003)
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Published in Biopharm International (01.05.2003)
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Statistical tools for setting in-process acceptance criteria
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The occurrence of cyclic AMP in archaebacteria
Leichtling, Ben H., Rickenberg, Howard V., Seely, Robert J., Fahrney, David E., Pace, Norman R.
Published in Biochemical and biophysical research communications (14.05.1986)
Published in Biochemical and biophysical research communications (14.05.1986)
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Defining critical variables in well-characterized biotechnology processes
Seely, Robert J, Hutchins, Holly V, Luscher, Marcus P, Sniff, Kathleen S, Hassler, Randall
Published in Biopharm (01.04.1999)
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Published in Biopharm (01.04.1999)
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