logarithmic distribution
41Matrix normal distribution — parameters: mean row covariance column covariance. Parameters are matrices (all of them). support: is a matrix …
42Bimodal distribution — Bimodal redirects here. For the musical concept, see Bimodality. Figure 1. A simple bimodal distribution, in this case a mixture of two normal distributions with the same variance but different means. The figure shows the probability density… …
43Nakagami distribution — Nakagami Probability density function Cumulative distribution function parameters: μ > = 0.5 shape (real) …
44Degenerate distribution — Degenerate Probability mass function PMF for k0=0. The horizontal axis is the index i of ki. (Note that the function is only defined at integer indices. The connecting lines do not indicate continuity.) Cumulative distribution function …
45Relativistic Breit–Wigner distribution — The relativistic Breit–Wigner distribution (after Gregory Breit and Eugene Wigner) is a continuous probability distribution with the following probability density function:[1] Where k is the constant of proportionality, equal to with …
46Normal-inverse Gaussian distribution — Normal inverse Gaussian (NIG) parameters: μ location (real) α tail heavyness (real) β asymmetry parameter (real) δ scale parameter (real) support …
47Multivariate Student distribution — Multivariate Student parameters: location (real vector) Σ scale matrix (positive definite real matrix) n is the degree of freedom support …
48Circular distribution — In probability and statistics, a circular distribution or polar distribution is a probability distribution of a random variable whose values are angles, usually taken to be in the range [ 0,  2π ) .[1] A circular distribution is… …
49Maxwell speed distribution — Classically, an ideal gas molecules bounce around with somewhat arbitrary velocities, never interacting with each other. In reality, however, an ideal gas is subjected to intermolecular forces. It is to be noted that the aforementioned classical… …
50Davis distribution — Probability density function No image available Cumulative distribution function No image available parameters: b > 0 scale n > 0 shape μ > 0 location support: x > μ …
