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Download the Paper (1.5 MB, PDF file) - January 29, 2007 Tell a colleague about it. Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.

ABSTRACT:
This paper explores the use of, and problems that arise in, kernel smoothing and parametric estimation of the relationships between wildfire incidence and various meteorological variables. Such relationships may be treated as components in separable point process models for wildfire activity. The resulting models can be used for comparative purposes in order to assess the predictive performance of the Burning Index.

SUGGESTED CITATION:
Frederic P. Schoenberg, Jamie Pompa, and Chien-Hsun Chang, "A Note on Non-parametric and Semi-parametric Modeling of Wildfire Hazard in Los Angeles County, California" (January 29, 2007). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2007010109.
http://repositories.cdlib.org/uclastat/papers/2007010109