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the moment of given order k is computed by numeric integration or summation (in case of discrete distributions)
moment(ld, k)
the loss distribution as obtained from lossDistribution or mgss.
lossDistribution
mgss
the order of the moment (must be an integer \(\geq 1\))
the k-th order moment of the given loss distribution
the methods mean and variance are based on this function.
mean
variance
# NOT RUN { cvss1base <- c(10,6.4,9,7.9,7.1,9) ld <- lossDistribution(cvss1base) cdf(ld, 4) # }
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