KURTOSIS Kurtosis.
    K = KURTOSIS(X) returns the sample kurtosis of the values in X.  For a
    vector input, K is the fourth central moment of X, divided by fourth
    power of its standard deviation.  For a matrix input, K is a row vector
    containing the sample kurtosis of each column of X.  For N-D arrays,
    KURTOSIS operates along the first non-singleton dimension.
 
    KURTOSIS(X,0) adjusts the kurtosis for bias.  KURTOSIS(X,1) is the same
    as KURTOSIS(X), and does not adjust for bias.
 
    KURTOSIS(X,FLAG,DIM) takes the kurtosis along dimension DIM of X.
 
    KURTOSIS treats NaNs as missing values, and removes them.
 
    See also mean, moment, std, var, skewness.

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