Abstract
In this Chapter we give an overview of statistical methods for anomaly detection (AD), thereby targeting an audience of practitioners with general knowledge of statistics. We focus on the applicability of the methods by stating and comparing the conditions in which they can be applied and by discussing the parameters that need to be set. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Callegari, C., Coluccia, A., D’alconzo, A., Ellens, W., Giordano, S., Mandjes, M., … Zìšuraniewski, P. (2013). A methodological overview on anomaly detection. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. https://doi.org/10.1007/978-3-642-36784-7_7
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