Abstract
The chapter presents more advanced database-analysis techniques that can be used for risk analysis and assessment. First, f-N and F-N diagrams are explained. From statistical perspective, f-N and in particular F-N diagrams are special types of distributions that have proven to be of use in the context of risk assessments and communication. The main body covers the application of time series analysis methods, in particular smoothing, trend detection and its removal, cycle detection using the autocorrelation function and the removal of cycles and the selecting of statistical time series models. The identification of correlations between data attributes is also investigated. In this sense the detection of cycles is a special case of correlation. Also the risk diagrams (graphs) are further investigated. Risk diagrams can also be understood as ready-to-use-and-interpret correlation maps using typically original event data, in addition further data is used.
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Häring, I. (2015). More Elaborate Database Analysis for Risk and Resilience Analysis. In: Risk Analysis and Management: Engineering Resilience. Springer, Singapore. https://doi.org/10.1007/978-981-10-0015-7_4
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DOI: https://doi.org/10.1007/978-981-10-0015-7_4
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