Influence measures in blocked designs of experiments with correlated errors

Lalmohan Bhar and Sankalpa Ojha

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 5, 2411-2434

Abstract: Diagnostics measures for detecting outliers in data from block designs of experiments with correlated errors are considered. Influence is often assessed by deleting suspected outlying observations. Autocorrelation of order one is considered to model correlation in each block. Cook-statistic is developed for detecting the effect of a single outlier, where results are illustrated with an example.

Date: 2017
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DOI: 10.1080/03610926.2015.1045079

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