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distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0 sigma=1 a=-4 b=4
Estimated distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=-0.013 sigma=1 a=-3.6 b=3.6
Default distribution= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
Distribution from parameters= TruncatedNormal(mu = 0, sigma = 1, a = -4, b = 4)
TruncatedNormal = TruncatedNormal(mu = 0, sigma = 1, a = -4, b = 4)
Estimated TruncatedNormal= TruncatedNormal(mu = -0.013, sigma = 1, a = -3.6, b = 3.6)
Default TruncatedNormal= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
TruncatedNormal from parameters= TruncatedNormal(mu = 0, sigma = 1, a = -4, b = 4)
Estimated distribution with default estimator = TruncatedNormal(mu = -0.013, sigma = 1, a = -3.6, b = 3.6)
Estimated distribution with moments= TruncatedNormal(mu = -0.013, sigma = 1, a = -3.6, b = 3.6)
Estimated distribution with likelihoodMax.= TruncatedNormal(mu = -0.013, sigma = 1, a = -3.6, b = 3.6)
distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0 sigma=1 a=-1 b=4
Estimated distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0.0092 sigma=1 a=-1 b=3.3
Default distribution= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
Distribution from parameters= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 4)
TruncatedNormal = TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 4)
Estimated TruncatedNormal= TruncatedNormal(mu = 0.0092, sigma = 1, a = -1, b = 3.3)
Default TruncatedNormal= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
TruncatedNormal from parameters= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 4)
Estimated distribution with default estimator = TruncatedNormal(mu = 0.0092, sigma = 1, a = -1, b = 3.3)
Estimated distribution with moments= TruncatedNormal(mu = 0.0095, sigma = 1, a = -1, b = 3.3)
Estimated distribution with likelihoodMax.= TruncatedNormal(mu = 0.0092, sigma = 1, a = -1, b = 3.3)
distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0 sigma=1 a=1 b=2
Estimated distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=-0.09 sigma=1 a=1 b=2
Default distribution= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
Distribution from parameters= TruncatedNormal(mu = 0, sigma = 1, a = 1, b = 2)
TruncatedNormal = TruncatedNormal(mu = 0, sigma = 1, a = 1, b = 2)
Estimated TruncatedNormal= TruncatedNormal(mu = -0.09, sigma = 1, a = 1, b = 2)
Default TruncatedNormal= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
TruncatedNormal from parameters= TruncatedNormal(mu = 0, sigma = 1, a = 1, b = 2)
Estimated distribution with default estimator = TruncatedNormal(mu = -0.09, sigma = 1, a = 1, b = 2)
Estimated distribution with moments= TruncatedNormal(mu = -0.08, sigma = 1, a = 1, b = 2)
Estimated distribution with likelihoodMax.= TruncatedNormal(mu = -0.09, sigma = 1, a = 1, b = 2)
distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0 sigma=1 a=3 b=6
Estimated distribution= class=TruncatedNormal name=TruncatedNormal dimension=1 mu=-0.072 sigma=1 a=3 b=5
Default distribution= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
Distribution from parameters= TruncatedNormal(mu = 0, sigma = 1, a = 3, b = 6)
TruncatedNormal = TruncatedNormal(mu = 0, sigma = 1, a = 3, b = 6)
Estimated TruncatedNormal= TruncatedNormal(mu = -0.072, sigma = 1, a = 3, b = 5)
Default TruncatedNormal= TruncatedNormal(mu = 0, sigma = 1, a = -1, b = 1)
TruncatedNormal from parameters= TruncatedNormal(mu = 0, sigma = 1, a = 3, b = 6)
Estimated distribution with default estimator = TruncatedNormal(mu = -0.072, sigma = 1, a = 3, b = 5)
Estimated distribution with moments= TruncatedNormal(mu = -0.047, sigma = 1, a = 3, b = 5)
Estimated distribution with likelihoodMax.= TruncatedNormal(mu = -0.072, sigma = 1, a = 3, b = 5)
Build method of moments
Build method of likelihood maximization
A tricky case
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