cumulativeDistributionFunction

87 triples
GPTKB property

Alternative names (3)
CDF cdf cumulative distribution function

Random triples
Subject Object
gptkb:Fisher–Snedecor_distribution I_{d1 x/(d1 x + d2)}(d1/2, d2/2)
gptkb:Arcsin_distribution F(x) = (2/π) arcsin(√x) for x in [0,1]
gptkb:Uniform_distribution_(when_alpha=1,_beta=1) x for x in [0,1]
gptkb:standard_normal_distribution Φ(x)
gptkb:t-distribution_(with_1_degree_of_freedom) (1/2) + (1/π) arctan(x)
gptkb:binomial_distribution sum_{i=0}^k C(n, i) * p^i * (1-p)^{n-i}
gptkb:discrete_uniform_distribution F(x) = (floor(x) - a + 1)/n for a ≤ x < b
gptkb:generalized_extreme_value_distribution F(x) = exp(-[1 + ξ((x-μ)/σ)]^{-1/ξ})
gptkb:Snedecor's_F-distribution involves regularized incomplete beta function
gptkb:F-distribution I_{d1 x/(d1 x + d2)}(d1/2, d2/2)
gptkb:Weibull_distribution_(with_shape_parameter_1) F(x) = 1 - exp(-x/λ) for x ≥ 0
gptkb:degenerate_distribution step function
gptkb:chi_distribution P(x;k) = gamma(k/2, x^2/2) / Gamma(k/2)
gptkb:Lorentzian_distribution F(x; x0, γ) = (1/π) arctan((x - x0)/γ) + 1/2
gptkb:von_Mises_distribution no closed form
gptkb:inverse_gamma_distribution Γ(α, β/x) / Γ(α)
gptkb:Log-normal_distribution F(x; μ, σ) = 0.5 + 0.5 erf[(ln x - μ)/(σ√2)]
gptkb:geometric_distribution P(X ≤ k) = 1 - (1-p)^k
gptkb:Lorentz_distribution F(x; x0, γ) = (1/π) arctan((x - x0)/γ) + 1/2
gptkb:generalized_gamma_distribution expressed in terms of incomplete gamma function

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