OCDs in Randomized Block 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 3 in Optimal Covariate Designs, 2015, pp 27-39 from Springer

Abstract: Abstract We have already mentioned in Chap. 2 that the question of optimal estimation of the covariate parameters under the covariate model was first studied by Troya Lopes, J Stat Plan Inference 6:373–419, (1982a); 7:49–75, (1982b) in Completely Randomized Design (CRD) set-up. Later, Das et al., J Stat Plan Inference 115:273–285, (2003) extended her work to the construction of optimum covariate designs in the set-up of Randomized Block Designs (RBD). Also, Rao et al., Electron Notes Discret Math 15:157–160, (2003) established a relationship between mixed orthogonal arrays (MOAs) and OCDs in CRD and RBD set-ups. In this chapter we discuss the construction procedures of OCDs in RBD set-up as considered by Das et al., J Stat Plan Inference 115:273–285, (2003) and Rao et al., Electron Notes Discret Math 15:157–160, (2003).

Keywords: Randomized block design; Optimal covariate designs; Orthogonal arrays; Mixed and orthogonal arrays; MOLS; Hadamard matrices (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-81-322-2461-7_3

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