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Activity Number:
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305
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statisticians in Defense and National Security
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| Abstract - #300889 |
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Title:
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Using the Repeated Two-Sample Rank Procedure for Detecting Anomalies in Space and Time
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Author(s):
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Ronald D. Fricker, Jr.*+
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Companies:
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Naval Postgraduate School
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Address:
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Operations Research Department, Monteey, CA, 93943,
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Keywords:
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biosurveillance ; statistical process control ; nonparametric ; spatio-temporal
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Abstract:
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The Repeated Two-Sample Rank (RTR) procedure is a nonparametric statistical process control methodology that applies to both univariate and multivariate data. The method transforms a sample of data into univariate statistics; changes in the distribution of the data are then detected using nonparametric rank tests. In this discussion we explore its use as a spatio-temporal event detection and monitoring methodology for use in applications such as biosurveillance, crime mapping, or IED incidence change detection. The methodology is designed to sequentially incorporate information from individual observations as they arrive into an automated systems and thus can operate on data in real-time. Upon a signal of a possible distributional change, the methodology suggests a way to graphically indicate the likely location of the distributional change.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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