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Distribution = class=Frechet name=Frechet dimension=1 beta=2.5 alpha=2 gamma=-1.5
Estimated distribution = class=Frechet name=Frechet dimension=1 beta=2.48707 alpha=1.95959 gamma=-1.47831
Parameter distribution = Normal(mu = [2.48707,1.95959,-1.47831], sigma = [0.0530232,0.0393876,0.0460048], R = [[ 1 0.858607 -0.967707 ]
[ 0.858607 1 -0.918773 ]
[ -0.967707 -0.918773 1 ]])
Default distribution = Frechet(beta = 1, alpha = 1, gamma = 0)
Distribution from parameters = Frechet(beta = 2.5, alpha = 2, gamma = -1.5)
Typed estimated distribution = Frechet(beta = 2.48707, alpha = 1.95959, gamma = -1.47831)
Default typed distribution = Frechet(beta = 1, alpha = 1, gamma = 0)
Typed distribution from parameters= Frechet(beta = 2.5, alpha = 2, gamma = -1.5)
Estimated dist from mixture sample= Frechet(beta = 2.57426, alpha = 1.71402, gamma = -0.833636)
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