|
gptkb:Chi-squared_distribution
|
sqrt(8/k)
|
|
gptkb:lognormal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Lévy_distribution
|
undefined
|
|
gptkb:Lorentzian_distribution
|
undefined
|
|
gptkb:Normal_Distribution
|
0
|
|
gptkb:chi_distribution
|
(2^{3/2} Gamma((k+1)/2) / Gamma(k/2)) * (1 - (mean)^2/k)
|
|
gptkb:circular_normal_distribution
|
zero (symmetric distribution)
|
|
gptkb:Student's_t-distribution_(ν=1)
|
0
|
|
gptkb:Log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Standard_Normal_Distribution
|
0
|
|
gptkb:F-distribution
|
Defined for d2 > 6
|
|
gptkb:Normal_distribution_(precision_parameterization)
|
0
|
|
gptkb:t-distribution_(with_1_degree_of_freedom)
|
undefined
|
|
gptkb:univariate_t-distribution
|
0 (for df > 3)
|
|
gptkb:chi-squared_distribution_(with_2_degrees_of_freedom)
|
2
|
|
gptkb:Gaussian_distribution
|
0
|
|
gptkb:binomial_distribution
|
(1-2p)/sqrt(n*p*(1-p))
|
|
gptkb:multivariate_normal_distribution
|
0
|
|
gptkb:Extreme_Value_Type_I_distribution
|
12√6 ζ(3)/π^3 ≈ 1.1396
|
|
gptkb:Gaussian_Distribution
|
0
|