Activity Number:
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201
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 13, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Graphics*
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Abstract - #301991 |
Title:
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Estimating the Renewal Distribution of a Spatial-Temporal Process
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Author(s):
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Roger Peng*+ and Frederic Schoenberg
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Affiliation(s):
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University of California, Los Angeles and University of California, Los Angeles
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Address:
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8142 Math-Science Building, Los Angeles, California, 90095-1554, USA
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Keywords:
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Spatial-temporal modeling ; Fire risk ; Maximum quasi-likelihood ; time-since-fire ; coverage process
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Abstract:
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In this paper, a new method is described for characterizing the renewal properties of a spatial-temporal process. This new method is applied to geographic information systems data on wildfires and used to estimate the fire interval distribution for Los Angeles County, California. It is demonstrated that fuel age appears to have a nonlinear threshold-type relationship with wildfire burn area. The estimator is shown to be more stable than previous estimators and to have good finite and large sample properties.
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