cumulativeDistributionFunction
87
triples
GPTKB property
Alternative names (3)
CDF • cdf • cumulative distribution functionRandom triples
| Subject | Object |
|---|---|
| gptkb:Exponential_distribution | 1 - exp(-lambda * x) |
| gptkb:arcsine_distribution | F(x) = (2/π) arcsin(√x) for x in [0,1] |
| gptkb:Weibull_distribution_(with_shape_parameter_1) | F(x) = 1 - exp(-x/λ) for x ≥ 0 |
| gptkb:Chi-squared_distribution | P(x; k) = γ(k/2, x/2)/Γ(k/2) |
| gptkb:Type_II_extreme_value_distribution | F(x) = exp(-((x-m)/s)^-α) for x > m |
| gptkb:uniform_distribution | (x-a)/(b-a) for a ≤ x ≤ b |
| gptkb:Fréchet_distribution | F(x; α, s, m) = exp(-((x-m)/s)^(-α)) for x > m |
| gptkb:Snedecor's_F-distribution | involves regularized incomplete beta function |
| gptkb:log-normal_distribution | Φ((ln x - μ)/σ), x > 0 |
| gptkb:Johnson_SU_distribution | involves inverse hyperbolic sine |
| gptkb:geometric_distribution | P(X ≤ k) = 1 - (1-p)^k |
| gptkb:univariate_normal_distribution | Φ((x-μ)/σ) |
| gptkb:Student's_t-distribution | No simple closed form |
| gptkb:triangular_distribution | piecewise quadratic |
| gptkb:chi_distribution | P(x;k) = gamma(k/2, x^2/2) / Gamma(k/2) |
| gptkb:circular_normal_distribution | no closed form |
| gptkb:Delta_Distribution | Heaviside Step Function |
| gptkb:univariate_t-distribution | expressed in terms of the incomplete beta function |
| gptkb:Noncentral_t-distribution | no closed form |
| gptkb:Erlang_distribution | 1 - Σ_{n=0}^{k-1} e^{-λx} (λx)^n / n! |