A Methodology for Statistical Behavioral Fault Modeling
نویسندگان
چکیده
This paper presents a novel algorithm for statistical behavioral modeling, based on two statistical techniques: mutual information and Bootstrap. In contrast to Euclidean distance calculations, clustering faults by measuring the mutual information (entropy) between two fault populations is more efficient and robust. Employing the bootstrap technique results in a significant reduction of expensive Monte Carlo simulation time.
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