distribution=Normal(mu = 0, sigma = 1)
vector=class=RandomVector implementation=class=UsualRandomVector distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
alpha=0.9
beta=0.9
n(0.9, 0.9, 0)=22
Quantile of level=0.9 with confidence=0.9 using upper statistics=0 gives estimate=class=Point name=Unnamed dimension=1 values=[1.43725]
n(0.9, 0.9, 1)=38
Quantile of level=0.9 with confidence=0.9 using upper statistics=1 gives estimate=class=Point name=Unnamed dimension=1 values=[1.85579]
n(0.9, 0.9, 2)=52
Quantile of level=0.9 with confidence=0.9 using upper statistics=2 gives estimate=class=Point name=Unnamed dimension=1 values=[1.70938]
n(0.9, 0.9, 3)=65
Quantile of level=0.9 with confidence=0.9 using upper statistics=3 gives estimate=class=Point name=Unnamed dimension=1 values=[1.49156]
n(0.9, 0.9, 4)=78
Quantile of level=0.9 with confidence=0.9 using upper statistics=4 gives estimate=class=Point name=Unnamed dimension=1 values=[1.48031]
beta=0.95
n(0.9, 0.95, 0)=29
Quantile of level=0.9 with confidence=0.95 using upper statistics=0 gives estimate=class=Point name=Unnamed dimension=1 values=[1.94606]
n(0.9, 0.95, 1)=46
Quantile of level=0.9 with confidence=0.95 using upper statistics=1 gives estimate=class=Point name=Unnamed dimension=1 values=[1.73945]
n(0.9, 0.95, 2)=61
Quantile of level=0.9 with confidence=0.95 using upper statistics=2 gives estimate=class=Point name=Unnamed dimension=1 values=[1.70642]
n(0.9, 0.95, 3)=76
Quantile of level=0.9 with confidence=0.95 using upper statistics=3 gives estimate=class=Point name=Unnamed dimension=1 values=[1.7657]
n(0.9, 0.95, 4)=89
Quantile of level=0.9 with confidence=0.95 using upper statistics=4 gives estimate=class=Point name=Unnamed dimension=1 values=[1.44503]
alpha=0.95
beta=0.9
n(0.95, 0.9, 0)=45
Quantile of level=0.95 with confidence=0.9 using upper statistics=0 gives estimate=class=Point name=Unnamed dimension=1 values=[2.0749]
n(0.95, 0.9, 1)=77
Quantile of level=0.95 with confidence=0.9 using upper statistics=1 gives estimate=class=Point name=Unnamed dimension=1 values=[1.89271]
n(0.95, 0.9, 2)=105
Quantile of level=0.95 with confidence=0.9 using upper statistics=2 gives estimate=class=Point name=Unnamed dimension=1 values=[1.6379]
n(0.95, 0.9, 3)=132
Quantile of level=0.95 with confidence=0.9 using upper statistics=3 gives estimate=class=Point name=Unnamed dimension=1 values=[2.04098]
n(0.95, 0.9, 4)=158
Quantile of level=0.95 with confidence=0.9 using upper statistics=4 gives estimate=class=Point name=Unnamed dimension=1 values=[1.90887]
beta=0.95
n(0.95, 0.95, 0)=59
Quantile of level=0.95 with confidence=0.95 using upper statistics=0 gives estimate=class=Point name=Unnamed dimension=1 values=[3.0788]
n(0.95, 0.95, 1)=93
Quantile of level=0.95 with confidence=0.95 using upper statistics=1 gives estimate=class=Point name=Unnamed dimension=1 values=[2.49498]
n(0.95, 0.95, 2)=124
Quantile of level=0.95 with confidence=0.95 using upper statistics=2 gives estimate=class=Point name=Unnamed dimension=1 values=[2.13718]
n(0.95, 0.95, 3)=153
Quantile of level=0.95 with confidence=0.95 using upper statistics=3 gives estimate=class=Point name=Unnamed dimension=1 values=[2.19774]
n(0.95, 0.95, 4)=181
Quantile of level=0.95 with confidence=0.95 using upper statistics=4 gives estimate=class=Point name=Unnamed dimension=1 values=[2.45554]
