Abstract
Effective sweep width (W) promises objective probability of detection (POD) values for guiding missing-person search efforts. However, methods for measuring W produce large uncertainties. Also, models for generating POD from W have not been validated for ground-based search. The authors applied least-square fits of POD data collected in the field for air-scent dog teams as well as human searchers using the two most prevalent models to derive W values. The method routinely fits the data to an R-square of .8 with more statistical power than previous methods, and appears to be detector-agnostic. The authors present recommendations for optimizing its use in the field.
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