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OCDs in Completely Randomized Design Set-Up

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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.

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References

  • Das K, Mandal NK, Sinha BK (2003) Optimal experimental designs with covariates. J Stat Plan Inference 115:273–285

    Article  MathSciNet  Google Scholar 

  • Dey A, Mukerjee R (2006) D-optimal designs for covariate models. Statistics 40:297–305

    Article  MathSciNet  Google Scholar 

  • Dutta G, Das P, Mandal NK (2014) D-Optimal designs for covariate models. Commun Stat Theory Methods 43:165–174

    Article  MathSciNet  Google Scholar 

  • Galil Z, Kiefer J (1980) D-optimum weighing designs. Ann Stat 8:1293–1306

    Article  MathSciNet  Google Scholar 

  • Hedayat AS, Sloane NJA, Stufken J (1999) Orthogonal arrays: theory and applications. Springer, New York

    Book  Google Scholar 

  • Pukelsheim F (1993) Optimal design of experiments. Wiley, New York

    Google Scholar 

  • Rao CR (1973) Linear statistical inference and its applications. Wiley, New York

    Book  Google Scholar 

  • Rao PSSNVP, Rao SB, Saha GM, Sinha BK (2003) Optimal designs for covariates’ models and mixed orthogonal arrays. Electron Notes Discret Math 15:157–160

    MathSciNet  Google Scholar 

  • Shah KR, Sinha BK (1989) Theory of optimal designs. lecture notes in statistics, Series 54. Springer, New York

    Google Scholar 

  • Troya Lopes J (1982a) Optimal designs for covariate models. J Stat Plan Inference 6:373–419

    Article  Google Scholar 

  • Troya Lopes J (1982b) Cyclic designs for a covariate model. J Stat Plan Inference 7:49–75

    Article  Google Scholar 

  • Wojtas M (1964) On Hadamard’s inequality for the determinants of order non-divisible by 4. Colloq Math 12:73–83

    MathSciNet  Google Scholar 

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Correspondence to Premadhis Das .

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Das, P., Dutta, G., Mandal, N.K., Sinha, B.K. (2015). OCDs in Completely Randomized Design Set-Up. In: Optimal Covariate Designs. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2461-7_2

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