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    Statistical methods for the detection and analysis of radioactive sources

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    http://hdl.handle.net/10217/88445
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    Klumpp_colostate_0053A_12659.pdf (1.557Mb)
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    Abstract
    We consider four topics from areas of radioactive statistical analysis in the present study: Bayesian methods for the analysis of count rate data, analysis of energy data, a model for non-constant background count rate distributions, and a zero-inflated model of the sample count rate. The study begins with a review of Bayesian statistics and techniques for analyzing count rate data. Next, we consider a novel system for incorporating energy information into count rate measurements which searches for elevated count rates in multiple energy regions simultaneously. The system analyzes time-interval ...
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    Author(s)
    Klumpp, John

    Advisor(s)
    Brandl, Alexander

    Date Issued
    2014
    Format
    born digital; doctoral dissertations
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Environmental and Radiological Health Sciences

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