|
gptkb:Chi-squared_distribution
|
sqrt(8/k)
|
|
gptkb:Type_II_extreme_value_distribution
|
positive
|
|
gptkb:exponential_distribution_(when_k=1)
|
2
|
|
gptkb:Lorentz_distribution
|
undefined
|
|
gptkb:Arcsin_distribution
|
0
|
|
gptkb:univariate_standard_normal_distribution
|
0
|
|
gptkb:Rademacher_distribution
|
0
|
|
gptkb:normal_distribution_(precision_parameter)
|
0
|
|
gptkb:Binomial_distribution
|
(1-2p)/sqrt(np(1-p))
|
|
gptkb:Bernoulli_distribution
|
(1-2p)/sqrt(p(1-p))
|
|
gptkb:Laplace_distribution
|
0
|
|
gptkb:Gaussian_Distribution
|
0
|
|
gptkb:Gaussian_distribution
|
0
|
|
gptkb:bernoulli_distribution
|
(1-2p)/sqrt(p(1-p))
|
|
gptkb:Pearson_Type_I
|
can be positive or negative
|
|
gptkb:Student's_t-distribution
|
0 (for df > 3)
|
|
gptkb:standard_normal_distribution
|
0
|
|
gptkb:Negative_binomial_distribution
|
(2-p)/sqrt(r(1-p))
|
|
gptkb:Extreme_Value_Type_I_distribution
|
12√6 ζ(3)/π^3 ≈ 1.1396
|
|
gptkb:Normal_Distribution
|
0
|