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  "Description": "Computes the test statistic and p-value of the Cramer-von\nMises and Anderson-Darling test for some continuous\ndistribution functions proposed by Chen and Balakrishnan (1995)\n<http://asq.org/qic/display-item/index.html?item=11407>. In\naddition to our classic distribution functions here, we\ncalculate the Goodness of Fit (GoF) test to dataset which\nfollows the extreme value distribution function, without\nremembering the formula of distribution/density functions.\nCalculates the Value at Risk (VaR) and Average VaR are another\nimportant risk factors which are estimated by using well-known\ndistribution functions. Pflug and Romisch (2007, ISBN:\n9812707409) is a good reference to study the properties of risk\nmeasures.",
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