Optimality in presence of damaged observations |
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Authors: | S. Ghosh J. Roy |
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Affiliation: | Department of Statistics, University of California, Riverside, CA 92521, USA;Indian Statistical Institute, Calcutta, India |
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Abstract: | In this paper we study a situation where, instead of observing , we observe ; where the random variables in the vector d are called damage components. It is shown that A- and E-optimum designs minimize the effect of d in the mean square error (m.s.e.) of estimable linear functions of parameters under the ordinary linear model. |
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Keywords: | Primary 62K05, 62K15 Secondary 62J05, 62J15 Damaged Observation Linear Model Mean Square Error Optimum Design |
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