Date of Award
1-2007
Document Type
Thesis
Degree Name
Master of Science (MS)
Legacy Department
Environmental Engineering and Science
Committee Chair/Advisor
DeVol, Timothy
Abstract
The on-line monitoring for illicit radioactive material with a minimum number of false detections is a critical need for homeland security. The primary objectives of this work were to apply both Bayesian and classical statistical process control chart techniques to the on-line monitoring of radiological data and to then compare the Type I and Type II error incidence rates. Two versions of the cumulative sum (CUSUM) and Shiryayev-Roberts (S-R) procedures known as total reset and alarm reset methods were developed. The best method in terms of Type I errors was the S-R total reset method. In terms of Type II errors, the CUSUM alarm reset procedure and the S-R alarm reset control scheme were most effective. At high count rates, the Shewhart (3-sigma) control chart resulted in the fewest number of false negatives independent of the amount of time a source was present.
Recommended Citation
Attardo, Amy, "Application of Classical Versus Bayesian Statistical Methods to On-line Radiological Monitoring" (2007). All Theses. 62.
https://tigerprints.clemson.edu/all_theses/62