Myron J. Katzoff



Myron J. Katzoff, Abera Wouhib, and Joe Fred Gonzalez, Jr. (2003), Using Design-Based Adaptive Sampling Procedures in Site Decontamination, Computing Science and Statistics, 35, I2003Proceedings/KatzoffMyron/KatzoffMyron.paper.pdf ,
I2003Proceedings/KatzoffMyron/KatzoffMyron.tables.pdf



Using Design-Based Adaptive Sampling Procedures in Site Decontamination
Myron J. Katzoff, (National Center for Health Statistics), mjk5@cdc.gov,
Abera Wouhib, (National Center for Health Statistics), aqw3@cdc.gov, and
Joe Fred Gonzalez, Jr., (National Center for Health Statistics), jfg2@cdc.gov

Abstract

In this paper, we consider the application of finite-population design-based sampling procedures in a spatial context to decontamination of a site where there is a significant public health risk of anthrax exposure. Through computer simulation, we study the properties of adaptive sampling procedures employed in the search of a bounded three-dimensional space that serves as a model of the site. For a finite set of designs, we compare the operational efficiency of procedures, as measured by percent of contamination eliminated, and examine the variation in detection probabilities with choices of selection-unit parameters, cloud-density and design complexity.


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