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New balanced sampling plans excluding adjacent units
Authors:James H. Wright  John Stufken
Affiliation:1. AstraZeneca Pharmaceuticals LP, Wilmington, DE 19850, USA;2. Department of Statistics, University of Georgia, Athens, GA 30602, USA
Abstract:Hedayat et al. [1988a. Sampling plans excluding contiguous units. J. Statist. Plann. Inference 19, 159–170; 1988b. Designs in survey sampling avoiding contiguous units. In: Krishnaiah, P.R., Rao, C.R. (Eds.). Handbook of Statistics, vol. 6. Elsevier, Amsterdam, pp. 575–583] first introduced balanced sampling designs for the exclusion of contiguous units. Sampling plans that excluded the selection of contiguous units within a given sample, while maintaining a constant second-order inclusion probability for non-contiguous units, were investigated for finite populations of N units arranged in a circular, one-dimensional ordering. There remain many open questions about the existence of such plans and their extension to plans excluding adjacent units. We present new generation techniques and new balanced sampling plans for the exclusion of adjacent units under finite, one-dimensional, circularly and linearly ordered populations.
Keywords:Polygonal designs   Integer programming   Linear programming   Circularly and linearly ordered populations   Finite population sampling   Cyclic block designs
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