OCDs in Completely Randomized Design Set-Up

Premadhis Das (), Ganesh Dutta (), Nripes Kumar Mandal () and Bikas Kumar Sinha ()
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Premadhis Das: University of Kalyani, Department of Statistics
Ganesh Dutta: Basanti Devi College (Affiliated to University of Calcutta), Department of Statistics
Nripes Kumar Mandal: University of Calcutta, Department of Statistics
Bikas Kumar Sinha: Indian Statistical Institute

Chapter Chapter 2 in Optimal Covariate Designs, 2015, pp 13-26 from Springer

Abstract: Abstract This chapter addresses optimality issues for covariate designs under CRD set-up. We discuss optimum allocation of treatments and optimum selection of values of the covariates in this set-up for simultaneous estimation of the (fixed) treatment effects (in the absence of the general effect) and the covariate effects. We derive optimum designs for the most efficient estimation of treatment parameters and covariate parameters for finding such designs with respect to global optimality criterion. In cases where such designs do not exist, we take resort to D-optimality criterion.

Keywords: CRD; Covariate parameters; Optimality criteria; MOLS; Hadamard matrices; OCDs; Regular cases; Non-regular cases (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2461-7_2

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DOI: 10.1007/978-81-322-2461-7_2

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