def AICc(k, L, n):
    """Computes the corrected Akaike Information Criterion. 
    
    Keyword arguments:
    L  --  log likelihood value of given distribution.
    k  --  number of fitted parameters.
    n  --  number of observations.
       
    """
    AICc = 2 * k - 2 * L + 2 * k * (k + 1) / (n - k - 1)
    return AICc
