Robust block designs for making test treatments-control treatment comparisons against the presence of an outlier

In the present investigation the general expression of Cook-statistic has been derived for detection of outlier in the block designs for making test treatments-control treatment comparisons. The criterion of minimization of average Cook-statistic has been modified to identify robust designs for maki...

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Bibliographic Details
Published in:Journal of the Indian Society of Agricultural Statistics 2003-04, Vol.56 (1)
Main Authors: Sarker, S, Gupta, V.K, Parsad, R. (Indian Agricultural Statistics Research Institute, New Delhi (India))
Format: Article
Language:English
Subjects:
LINEAR MODELS
MODELOS LINEALES
MODÈLE LINÉAIRE
MÉTHODE STATISTIQUE
MÉTODOS ESTADÍSTICOS
STATISTICAL METHODS
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Summary:In the present investigation the general expression of Cook-statistic has been derived for detection of outlier in the block designs for making test treatments-control treatment comparisons. The criterion of minimization of average Cook-statistic has been modified to identify robust designs for making test treatments-control treatment comparisons. It has been shown that all BTIB designs that are binary with respect to test treatments are robust against the presence of a single outlier.
ISSN:0019-6363