Outliers in incomplete multiresponse experiments

Raju Kumar and Lal Mohan Bhar

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 21, 10426-10445

Abstract: Identification of outlier vectors in block designs for incomplete multiresponse experiments has been considered. Design is composed of two sets of experimental units. Different numbers of response variables are observed from these two sets. Cook-statistic has been developed for identification of outliers. The developed statistic has been illustrated with a real-life data set. It has been shown that presence of outliers can distort the overall conclusion from an experiment.

Date: 2017
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DOI: 10.1080/03610926.2016.1235199

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