logarithmic distribution

  • 21Dirichlet distribution — Several images of the probability density of the Dirichlet distribution when K=3 for various parameter vectors α. Clockwise from top left: α=(6, 2, 2), (3, 7, 5), (6, 2, 6), (2, 3, 4). In probability and… …

    Wikipedia

  • 22Uniform distribution (continuous) — Uniform Probability density function Using maximum convention Cumulative distribution function …

    Wikipedia

  • 23Noncentral t-distribution — Noncentral Student s t Probability density function parameters: degrees of freedom noncentrality parameter support …

    Wikipedia

  • 24von Mises distribution — von Mises Probability density function The support is chosen to be [ π,π] with μ=0 Cumulative distribution function The support is chosen to be [ π,π] with μ=0 …

    Wikipedia

  • 25Conway–Maxwell–Poisson distribution — Conway–Maxwell–Poisson parameters: support: pmf: cdf …

    Wikipedia

  • 26Geometric 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 ∈… …

    Wikipedia

  • 27Noncentral chi-squared distribution — Noncentral chi squared Probability density function Cumulative distribution function parameters …

    Wikipedia

  • 28Compound 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… …

    Wikipedia

  • 29Maximum 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… …

    Wikipedia

  • 30Discrete 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… …

    Wikipedia