def _fitstart(self, x):
    loc = np.min([x.min(),0])
    a = 4/stats.skew(x)**2
    scale = np.std(x) / np.sqrt(a)
    return (a, loc, scale)
Remove the last element from of the list. If no elements are
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/distributions/sppatch.py/_fitstart--crossover with--dataset/ETHPy150Open lsbardel/python-stdnet/stdnet/odm/struct.py/List.block_pop_back