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gptkb:beta_distribution
|
(2*(beta-alpha)*sqrt(alpha+beta+1))/((alpha+beta+2)*sqrt(alpha*beta))
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|
gptkb:Fréchet_distribution
|
exists for α > 3
|
|
gptkb:Gaussian_distribution
|
0
|
|
gptkb:Standard_Normal_Distribution
|
0
|
|
gptkb:Gumbel_distribution
|
12√6 ζ(3)/π^3 ≈ 1.1396
|
|
gptkb:Normal_distribution_(precision_parameterization)
|
0
|
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gptkb:Gaussian_Distribution
|
0
|
|
gptkb:Log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:t-distribution_(with_1_degree_of_freedom)
|
undefined
|
|
gptkb:lognormal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Uniform_distribution_(when_alpha=1,_beta=1)
|
0
|
|
gptkb:normal_distribution_(precision_parameter)
|
0
|
|
gptkb:chi-squared_distribution_(with_2_degrees_of_freedom)
|
2
|
|
gptkb:Normal_Distribution_Function
|
0
|
|
gptkb:Chi-squared_distribution_(λ=0)
|
sqrt(8/k)
|
|
gptkb:exponential_distribution
|
2
|
|
gptkb:univariate_t-distribution
|
0 (for df > 3)
|
|
gptkb:log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
|
|
gptkb:Gamma_distribution
|
2/√k
|
|
gptkb:Erlang_distribution
|
2/√k
|