New Series of Optimal Covariate Designs in CRD and RBD set-ups
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Title |
New Series of Optimal Covariate Designs in CRD and RBD set-ups
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Creator |
Not Available
Hiranmoy Das Anurup Majumder Manoj Kumar Dikeshwar Nishad |
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Subject |
ANCOVA, Hadamard Matrix, Optimal Covariate Design (OCD), CRD, RBD
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Description |
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The study of optimal design for covariate models in CRD set-up was initiated by Troya (1982a, 1982b). Das et al. (2003) followed up the study and extended for RBD set-up. Recently Das et al. (2015) published a book on ‘Optimal Covariate Designs’. In the present study, one new series of global optimal covariate designs in CRD set-up and two new series in RBD set-up have been developed. The new OCDs in CRD or RBD designs require only two Hadamard matrices of order 2 and 4. The developed global optimal covariate designs in CRD set-up have v (=0; mod 4 or =2; mod 4) number of treatments, and the developed first series of global optimal covariate designs in RBD set-up have the treatment number v (=0; mod 4) for any even number of replications or blocks, b and do not dependent on the existence of Hv and Hb. The second series of global optimal covariate designs in RBD set-up require only the existence of Hv. The paper is enriched with examples of optimal covariates. All the developed optimal covariate designs in the present article are not available in the existing literature. Not Available |
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Date |
2020-05-14T09:12:25Z
2020-05-14T09:12:25Z 2020-04-01 |
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Type |
Research Paper
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Identifier |
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0019-6363 http://krishi.icar.gov.in/jspui/handle/123456789/35625 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Indian Society of Agricultural Statistics
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