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A cumulative accuracy profile (CAP) is a concept utilized in data science to visualize discrimination power. The CAP of a model represents the cumulative number of positive outcomes along the y-axis versus the corresponding cumulative number of a classifying parameter along the x-axis. The output is called a CAP curve. [1]
He considered the public acceptability of risk, (e.g. from nuclear reactors), arguing that a whole spectrum of events needs to be considered - not just the Maximum Credible Accident, but also those of less consequence but which were much more probable. He used examples such as hill walking to define a spectrum of risks which people found ...
Traditional inflation-free rate of interest for risk-free loans: 3-5%; Expected rate of inflation: 5%; The anticipated change in the rate of inflation, if any, over the life of the investment: Usually taken at 0%; The risk of defaulting on a loan: 0-5%; The risk profile of a particular venture: 0-5% and higher
The Nelson–Aalen estimator is a non-parametric estimator of the cumulative hazard rate function in case of censored data or incomplete data. [1] It is used in survival theory, reliability engineering and life insurance to estimate the cumulative number of expected events. An "event" can be the failure of a non-repairable component, the death ...
Every investor has a different risk tolerance with regard to their investment selections. A risk profile is a broad view of an individual’s risk tolerance. A risk profile can also refer to ...
Risk comparison (Understand the risks) – comparing risks with similar dimensional profiles: dread, control, catastrophic potential and novelty Cumulative risk (Get the overall picture) – processing cumulative probabilities instead of single incident probabilities
The authors start by proposing an auxiliary function (), where is a vector of portfolio returns, that is defined by: = {+ [(,)] +} They call this the conditional drawdown-at-risk (CDaR); this is a nod to conditional value-at-risk (CVaR), which may also be optimized using linear programming. There are two limiting cases to be aware of:
The 'bathtub curve' hazard function (blue, upper solid line) is a combination of a decreasing hazard of early failure (red dotted line) and an increasing hazard of wear-out failure (yellow dotted line), plus some constant hazard of random failure (green, lower solid line).