eldo_user

Monte Carlo Analysis
Additional Uncertainty Analyses (the .mcm File)
and:
These values measure the skewness and the kurtosis. The skewness for a normal distribution is
zero , and any symmetric data should have a skewness near zero. Negative values for
the skewness indicate data that are skewed left and positive values for the skewness indicate
data that are skewed right. Skewed left means the left tail is long relative to the right tail.
Similarly, skewed right means the right tail is long relative to the left tail. Some measurements
have a lower bound and are skewed right. We plot two examples of skewed distributions in
Figure 11-14.
Figure 11-14. Illustration of Kurtosis and Skewness with μ=0 and σ=1
The kurtosis refers to the curvature of the distribution. The kurtosis for a standard normal
distribution is three. When β 2 > 3 then unimodal distributions tend to have heavier or thicker
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Eldo® User's Manual, 15.3