|
gptkb:student's_t-distribution
|
0
|
|
gptkb:arcsine_distribution
|
0
|
|
gptkb:exponential_distribution_(when_k=1)
|
2
|
|
gptkb:Rademacher_distribution
|
0
|
|
gptkb:gamma_distribution
|
2/√k
|
|
gptkb:Laplace_distribution
|
0
|
|
gptkb:Pearson_type_III_distribution
|
can be positive or negative
|
|
gptkb:univariate_standard_normal_distribution
|
0
|
|
gptkb:Type_II_extreme_value_distribution
|
positive
|
|
gptkb:Standard_Normal_Distribution
|
0
|
|
gptkb:Normal_distribution_(standard_parameterization)
|
0
|
|
gptkb:standard_normal_distribution
|
0
|
|
gptkb:Poisson_distribution
|
1/sqrt(lambda)
|
|
gptkb:circular_normal_distribution
|
zero (symmetric distribution)
|
|
gptkb:Weibull_distribution
|
depends on shape parameter k
|
|
gptkb:chi_distribution
|
(2^{3/2} Gamma((k+1)/2) / Gamma(k/2)) * (1 - (mean)^2/k)
|
|
gptkb:Log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Normal_Distribution_Function
|
0
|
|
gptkb:normal_distribution
|
0
|
|
gptkb:Rademacher_random_variables
|
0
|