probabilityDensityFunction

30 triples
GPTKB property

Random triples
Subject Object
gptkb:Lorentzian_distribution f(x; x0, γ) = [1/π] [γ / ((x - x0)^2 + γ^2)]
gptkb:circular_normal_distribution f(θ; μ, κ) = [exp(κ cos(θ - μ))] / [2π I₀(κ)]
gptkb:Rayleigh_distribution (x/σ^2) * exp(-x^2/(2σ^2)) for x ≥ 0
gptkb:Pareto_distribution f(x; xm, α) = α xm^α / x^(α+1)
gptkb:Arcsin_distribution f(x) = 1 / (π√(x(1-x))) for x in (0,1)
gptkb:Extreme_Value_Type_I_distribution f(x) = (1/β) exp(-(x-μ)/β) exp(-exp(-(x-μ)/β))
gptkb:Log-normal_distribution f(x; μ, σ) = (1/(xσ√(2π))) exp(-(ln x - μ)^2/(2σ^2)), x > 0
gptkb:generalized_extreme_value_distribution f(x) = (1/σ) [1 + ξ((x-μ)/σ)]^{-1/ξ-1} exp(-[1 + ξ((x-μ)/σ)]^{-1/ξ})
gptkb:Gumbel_distribution f(x) = (1/β) exp(-(z + exp(-z))) where z = (x - μ)/β
gptkb:Generalized_extreme_value_distribution f(x) = (1/σ) exp(- (1 + ξ((x-μ)/σ))^{-1/ξ}) (1 + ξ((x-μ)/σ))^{-1-1/ξ}
gptkb:Inverse_gamma_distribution (β^α / Γ(α)) x^(-α-1) exp(-β/x)
gptkb:GEV_distribution closed form
gptkb:Johnson_SU_distribution involves hyperbolic sine
gptkb:Dirichlet_distribution f(x;α) = (1/B(α)) ∏ x_i^{α_i-1}
gptkb:Pearson_Type_I_distribution f(x) = C (x-a)^{m-1} (b-x)^{n-1}
gptkb:multivariate_normal_distribution f(x) = (1/((2π)^{k/2} |Σ|^{1/2})) exp(-1/2 (x-μ)^T Σ^{-1} (x-μ))
gptkb:lognormal_distribution f(x; μ, σ) = (1/(xσ√(2π))) exp(-(ln x - μ)^2/(2σ^2)), x > 0
gptkb:double_exponential_distribution f(x|μ,b) = (1/(2b)) * exp(-|x-μ|/b)
gptkb:inverse_Wishart_distribution matrix-valued function
gptkb:log-normal_distribution f(x; μ, σ) = (1/(xσ√(2π))) exp(-(ln x - μ)^2/(2σ^2)), x > 0