singular distribution

  • 31Geometric stable distribution — Geometric Stable parameters: α ∈ (0,2] stability parameter β ∈ [−1,1] skewness parameter (note that skewness is undefined) λ ∈ (0, ∞) scale parameter μ ∈ (−∞, ∞) location parameter support: x ∈ R, or x ∈ [μ, +∞) if α < 1 and β = 1, or x ∈… …

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  • 32Compound Poisson distribution — In probability theory, a compound Poisson distribution is the probability distribution of the sum of a Poisson distributed number of independent identically distributed random variables. In the simplest cases, the result can be either a… …

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  • 33Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …

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  • 34Conway–Maxwell–Poisson distribution — Conway–Maxwell–Poisson parameters: support: pmf: cdf …

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  • 35Noncentral chi-squared distribution — Noncentral chi squared Probability density function Cumulative distribution function parameters …

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  • 36Noncentral F-distribution — In probability theory and statistics, the noncentral F distribution is a continuous probability distribution that is a generalization of the (ordinary) F distribution. It describes the distribution of the quotient (X/n1)/(Y/n2), where the… …

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  • 37Normal-gamma distribution — Normal gamma parameters: location (real) (real) (real) (real) support …

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  • 38Discrete phase-type distribution — The discrete phase type distribution is a probability distribution that results from a system of one or more inter related geometric distributions occurring in sequence, or phases. The sequence in which each of the phases occur may itself be a… …

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  • 39Dagum distribution — Probability density function Cumulative distribution function No image available parameters: p > 0 shape a > 0 shape …

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  • 40Multivariate Pólya distribution — The multivariate Pólya distribution, named after George Pólya, also called the Dirichlet compound multinomial distribution, is a compound probability distribution, where a probability vector p is drawn from a Dirichlet distribution with parameter …

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