JSM 2004 - Toronto

Abstract #301625

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Activity Number: 278
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301625
Title: Balanced Sampling Excluding Adjacent Units
Author(s): James Wright*+
Companies: Bucknell University
Address: 380 Olin Science, Lewisburg, PA, 17837,
Keywords: balanced sampling ; circularly ordered populations ; finite population sampling ; generator blocks
Abstract:

Hedayat, Rao, and Stufken (1988) first introduced balanced sampling designs for the exclusion of contiguous units. Under the assumption that contiguous units of the population provided similar information, finite one-dimensional populations arranged in a circular order were considered. Sampling plans that excluded the selection of contiguous units within a given sample, while maintaining a constant second-order inclusion probability for noncontiguous units, were investigated. Stufken (1993) extended the general concept to balanced sampling avoiding adjacent units from circularly ordered populations. Under such a plan units that are within a distance of alpha of each other are considered to be adjacent. While the early papers developed the foundation for sampling one-dimensional populations avoiding adjacent units under circularly ordered populations, it was not until recently that significant advancements were made in the direct identification of such plans. Through the work of Wright and Stufken (2004), search algorithms have been developed that have successfully identified balanced sampling plans excluding adjacent units for circularly ordered populations.

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