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Activity Number:
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127
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #307696 |
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Title:
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Optimal Methods in Surveillance
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Author(s):
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Marianne Frisén*+
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Companies:
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Göteborg University
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Address:
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Statistical Research Unit, Göteborg, SE40530, , Sweden
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Keywords:
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Surveillance ; Monitoring ; Changepoint
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Abstract:
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Timely detections of environmental health hazards are important both at an individual level and to society. Statistical methods are necessary to separate important changes in the process from stochastic variation. New types of systems to analyze the data and meet the demand of surveillance have been developed recently. The statistical methods suitable for this, differ from the standard hypothesis testing methods. Good properties are quick detection, few false alarms and robustness. An overview of optimality criteria and methods will be given. Different ways to evaluate surveillance systems and to analyze data are demonstrated by freeware. Swedish data on biodiversity, radiation and infectious diseases will be used to illustrate methods. References can be found at www.statistics.gu.se/surveillance.
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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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