Statistical Issues in Designing an Optimal Detection System with Multiple Heterogeneous Sensors
نویسندگان
چکیده
Combining individual tests or sensors in a detection system often improves overall diagnostic performance, and many optimal decision-theoretic combinations under many different criteria exist. However, when designing a detection system, cost-effectiveness is important, particularly when combining a set of sensors with heterogeneous individual cost and performance. We consider the expected cost of correct and incorrect decisions of the system, constrained by the budget available to select an optimal system with various combinations of different types of conditionally independent and dependent sensors. We illustrate the approach using a hypothetical network of two different types of air pollution monitors.
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تاریخ انتشار 2007