Fig. B.2.

Offset of the central value x0 from the “true” value x0, true obtained through convolution of 105 random realizations of lognormal, loglogistic, Fréchet, and Weibull distribution, in the case of the “usual”, but wrong, method of adding errors in quadrature (left), and a piecewise linear error propagation (right), as a function of the skewness of the two addends. Here, offset is defined as (x0 − x0, true)/x0, true. The former method is off by a large fraction for relatively small skewnesses, whereas the latter method is correct on the < 1% level even out to skewnesses of 8–9.
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