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Circular neighbor-balanced designs using cyclic shifts.(English)Zbl 1177.05019

Summary: In agriculture experiments, the response on a given plot may be affected by the treatments on neighboring plots as well as by the treatments applied to that plot. In this paper we consider such type of situations and construct circular neighbor-balanced designs (CNBDs) by the method of cyclic shifts or sets of shifts. An important feature of this method is that the properties of a design can be easily obtained from the sets of shifts instead of constructing the actual blocks of the design. That is, the off-diagonal elements of the concurrence matrix can be easily obtained from the sets of shifts. Since the suggested designs are circular, balanced and binary, so they are universally optimal.

MSC:

05B05 Combinatorial aspects of block designs
62K05 Optimal statistical designs
62K10 Statistical block designs

Cite

References:

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[2]John J A. Cyclic Designs. London: Chapman and Hall, 1987 ·Zbl 0731.05001
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[17]Bailey R A, Druilhet P. Optimality of neighbor-balanced designs for total effects. Ann Statist, 32: 1650–1661 (2004) ·Zbl 1045.62074 ·doi:10.1214/009053604000000481
[18]Filipiak K, Markiewicz A. Optimality and efficiency of circular neighbor-balanced designs for correlated observations. Metrika, 61: 17–27 (2005) ·Zbl 1062.62136 ·doi:10.1007/s001840400321
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[20]Iqbal I, Tahir M H. Construction of test-control treatment block designs when k > v. Aligarh J Statist, 28: 55–73 (2008). ·Zbl 1305.62286
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[22]Iqbal I, Tahir M H, Akhtar M, et al. Generalized polygonal designs with block size 3 and {\(\lambda\)} = 1. J Statist Plann Inference, 139: 3200–3219 (2009) ·Zbl 1167.05008 ·doi:10.1016/j.jspi.2009.02.018
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This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
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