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   <subfield code="a">Comparison of test vs. control treatments using distance optimality criterion</subfield>
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   <subfield code="c">[Nripes K. Mandal, Kirti R. Shah, Bikas K. Sinha]</subfield>
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   <subfield code="a">Abstract.: We consider the problem of comparison of one test treatment (τ0) with a set of v control treatments (τ1, τ2, ..., τv) using distance optimality [DS-optimality] criterion introduced by Sinha (1970) in some treatment-connected design settings. It turns out that the nature of DS-optimal designs is quite similar to that for the usual A−, D− and E− optimality criteria. However, the optimality problem is quite complicated in most situations. First we deal with the CRD model and derive DS-optimal allocations for a given set of treatments. The results are almost identical to the A-optimal allocations for such problems. Then we consider a block design set-up and examine the nature of DS-optimal designs. In the process, we introduce the method of weighted coverage probability and maximize the resulting expression to obtain an optimal design.</subfield>
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   <subfield code="a">Springer-Verlag Berlin Heidelberg, 2000</subfield>
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   <subfield code="a">Key words: Okamoto Lemma, Weighted Coverage Probabilities, Completely Randomized Design, Block Designs, Complete Classes of Designs</subfield>
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   <subfield code="D">Nripes K.</subfield>
   <subfield code="u">Department of Statistics, Calcutta University, 35, Ballygunge Circular Road, Calcutta 700019, India, IN</subfield>
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   <subfield code="D">Kirti R.</subfield>
   <subfield code="u">Department of Statistics and Actuarial Science, University of Waterloo, 200 University Av. West, Waterloo, N2L 3G1, Canada (e-mail: kshah@math.uwaterloo.ca), CA</subfield>
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