probability density function
16
triples
GPTKB property
Random triples
| Subject | Object |
|---|---|
| gptkb:Gaussian_distribution_(precision_parameterization) | f(x) = sqrt(τ/2π) * exp(-0.5 * τ * (x - μ)^2) |
| gptkb:exponential_distribution_(when_k=1) | f(x;λ) = λe^{-λx} for x ≥ 0 |
| gptkb:Standard_uniform_distribution | f(x) = 1 for 0 ≤ x ≤ 1 |
| gptkb:Generalized_gamma_distribution | f(x) = (c / (a^d Γ(d/c))) x^{d-1} exp(-(x/a)^c) |
| gptkb:Normal_distribution_(precision_parameterization) | f(x) = sqrt(τ/2π) * exp(-0.5 * τ * (x - μ)^2) |
| gptkb:exponential_distribution_(with_sum_of_rates) | f(x) = (λ₁+λ₂+...+λₙ) exp(-(λ₁+λ₂+...+λₙ)x) |
| gptkb:t-distribution_(with_1_degree_of_freedom) | 1 / [π (1 + x^2)] |
| gptkb:Weibull_distribution_(with_shape_parameter_1) | f(x) = (1/λ) exp(-x/λ) for x ≥ 0 |
| gptkb:Student's_t-distribution_(ν=1) | f(x) = 1/[π(1 + x^2)] |
| gptkb:Student's_t-distribution_(with_1_degree_of_freedom) | f(x) = 1 / [π (1 + x^2)] |
| gptkb:arcsine_distribution | f(x) = 1 / (π sqrt(x(1-x))) for x in (0,1) |
| gptkb:symmetric_Dirichlet_distribution | proportional to product of x_i^(alpha-1) |
| gptkb:generalized_gamma_distribution | f(x; a, d, p) = (p / (a^d Γ(d/p))) x^{d-1} exp(-(x/a)^p) |
| gptkb:univariate_normal_distribution | f(x) = (1/(σ√(2π))) * exp(- (x-μ)^2 / (2σ^2)) |
| gptkb:normal_distribution | f(x) = (1/(sigma*sqrt(2*pi))) * exp(-(x-mu)^2/(2*sigma^2)) |
| gptkb:Erlang_distribution | f(x; k, λ) = λ^k x^{k-1} e^{-λx} / (k-1)! |