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gptkb:log-normal_distribution
|
(exp(σ^2) + 2)√(exp(σ^2) - 1)
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gptkb:Bernoulli_distribution
|
(1-2p)/sqrt(p(1-p))
|
|
gptkb:exponential_distribution_(when_k=1)
|
2
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gptkb:Extreme_Value_Type_I_distribution
|
12√6 ζ(3)/π^3 ≈ 1.1396
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gptkb:Student's_t-distribution_(with_1_degree_of_freedom)
|
undefined
|
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gptkb:Normal_Distribution
|
0
|
|
gptkb:Standard_Normal_Distribution
|
0
|
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gptkb:bernoulli_distribution
|
(1-2p)/sqrt(p(1-p))
|
|
gptkb:Laplace_distribution
|
0
|
|
gptkb:gamma_distribution_(with_shape_n)
|
2 / sqrt(n)
|
|
gptkb:Inverse_gamma_distribution
|
4√(α-2)/ (α-3), for α > 3
|
|
gptkb:double_exponential_distribution
|
0
|
|
gptkb:Negative_binomial_distribution
|
(2-p)/sqrt(r(1-p))
|
|
gptkb:Pearson_Type_I
|
can be positive or negative
|
|
gptkb:Beta_distribution
|
(2*(beta-alpha)*sqrt(alpha+beta+1))/((alpha+beta+2)*sqrt(alpha*beta))
|
|
gptkb:gamma_distribution
|
2/√k
|
|
gptkb:exponential_distribution
|
2
|
|
gptkb:Chi-squared_distribution
|
sqrt(8/k)
|
|
gptkb:univariate_normal_distribution
|
0
|
|
gptkb:Student's_t-distribution_(ν=1)
|
0
|