|
gptkb:Lorentz_distribution
|
undefined
|
|
gptkb:Standard_uniform_distribution
|
0
|
|
gptkb:Log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:gamma_distribution_(with_shape_n)
|
2 / sqrt(n)
|
|
gptkb:log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Pearson_Type_I
|
can be positive or negative
|
|
gptkb:Gaussian_distribution
|
0
|
|
gptkb:triangular_distribution
|
depends on parameters
|
|
gptkb:Beta_distribution
|
(2*(beta-alpha)*sqrt(alpha+beta+1))/((alpha+beta+2)*sqrt(alpha*beta))
|
|
gptkb:univariate_t-distribution
|
0 (for df > 3)
|
|
gptkb:Student's_t-distribution_(with_1_degree_of_freedom)
|
undefined
|
|
gptkb:Laplace_distribution
|
0
|
|
gptkb:Rademacher_random_variables
|
0
|
|
gptkb:generalized_gamma_distribution
|
depends on parameters a, d, p
|
|
gptkb:Rayleigh_distribution
|
0.6311
|
|
gptkb:Weibull_distribution
|
depends on shape parameter k
|
|
gptkb:normal_distribution_(precision_parameter)
|
0
|
|
gptkb:univariate_normal_distribution
|
0
|
|
gptkb:Exponential_distribution
|
2
|
|
gptkb:Fréchet_distribution
|
exists for α > 3
|