distribution applications
81Von Mises distribution — Probability distribution name =von Mises type =density pdf The support is chosen to be [ π,π] with μ=0 cdf The support is chosen to be [ π,π] with μ=0 parameters =mu real kappa>0 support =xin any interval of length 2π pdf =frac{e^{kappacos(x… …
82Wigner distribution function — The Wigner distribution function (WDF), named after Eugene Wigner, was first proposed for corrections to classical statistical mechanics in 1932 by Eugene Wigner. But the Wigner distribution function is also a good transform for time frequency… …
83Heavy-tailed distribution — In probability theory, heavy tailed distributions are probability distributions whose tails are not exponentially bounded:cite book |author=Asmussen, Søren |title=Applied probability and queues |publisher=Springer |location=Berlin |year=2003… …
84Cohen's class distribution function — For many years, signal analysis in both time and frequency domain has enjoyed high degree of popularity. The time frequency analysis techniques are especially effective in analyzing non stationary signals, whose frequency distribution and… …
85Bilinear time–frequency distribution — Bilinear time–frequency distributions, or quadratic time–frequency distributions, arise in a sub field field of signal analysis and signal processing called time–frequency signal processing, and, in the statistical analysis of time series data.… …
86Occupancy frequency distribution — In macroecology and community ecology, an occupancy frequency distribution (OFD) is the distribution of the numbers of species occupying different numbers of areas.[1] It was first reported in 1918 by the Danish botanist Christen C. Raunkiær in… …
87Gamma distribution — eta m = V {3m} e^{ xi m}. # If eta m > xi m^{delta 1} e^{ xi m}, then increment m and go to step 2. # Assume xi = xi m to be the realization of Gamma (delta, 1)Now, to summarize,: heta left( xi sum {i=1} ^{ [k] } {ln U i} ight) sim Gamma (k,… …
88Marginal distribution — In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the variables contained in the subset. The term marginal variable is used to refer to those… …
89Logistic distribution — Probability distribution name =Logistic type =density pdf cdf parameters =mu, location (real) s>0, scale (real) support =x in ( infty; +infty)! pdf =frac{e^{ (x mu)/s {sleft(1+e^{ (x mu)/s} ight)^2}! cdf =frac{1}{1+e^{ (x mu)/s! mean =mu, median …
90Inverse Gaussian distribution — Probability distribution name =Inverse Gaussian type =density pdf | cdf parameters =lambda > 0 mu > 0 support = x in (0,infty) pdf = left [frac{lambda}{2 pi x^3} ight] ^{1/2} exp{frac{ lambda (x mu)^2}{2 mu^2 x cdf = Phileft(sqrt{frac{lambda}{x… …
