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Journal of Statistical Theory and Practice Volume 8, 2014 - Issue 3: Advances in Interdisciplinary Statistics and Combinatorics (AISC)
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Original Articles

On the A Criterion of Experimental Design

J. P. MorganVirginia Tech, Blacksburg, Virginia, USACorrespondence[email protected]
&
J. W. StallingsVirginia Tech, Blacksburg, Virginia, USA
Pages 418-422 | Received 27 Sep 2012, Accepted 18 Jan 2013, Published online: 05 May 2014
 
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Abstract

Consider a linear model with targeted parameters . We derive a necessary and sufficient condition on the matrix M for the average variance of functions to be proportional to the A value for comparing designs. This establishes the full range of interpretations of the A criterion.

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