distribution parameter
71Noncentral 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… …
72Normal-gamma distribution — Normal gamma parameters: location (real) (real) (real) (real) support …
73Bilinear 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.… …
74Complex normal distribution — In probability theory, the family of complex normal distributions consists of complex random variables whose real and imaginary parts are jointly normal.[1] The complex normal family has three parameters: location parameter μ, covariance matrix Γ …
75Mixture distribution — See also: Mixture model In probability and statistics, a mixture distribution is the probability distribution of a random variable whose values can be interpreted as being derived in a simple way from an underlying set of other random variables.… …
76Gamma 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,… …
77Trip distribution — (or destination choice or zonal interchange analysis), is the second component (after trip generation, but before mode choice and route assignment) in the traditional four step transportation forecasting model. This step matches tripmakers’… …
78Generalised hyperbolic distribution — Probability distribution name =generalised hyperbolic type =density pdf cdf parameters =mu location (real) lambda (real) alpha (real) eta asymmetry parameter (real) delta scale parameter (real) gamma = sqrt{alpha^2 eta^2} support =x in ( infty; …
79Bunching parameter — In statistics as applied in particular in particle physics, when fluctuations of some observables are measured,it is convenient to transform the multiplicity distribution to the bunching parameters::eta q =frac{q}{q 1}frac{P q P {q 2{P {q… …
80Noncentral chi distribution — Noncentral chi parameters: degrees of freedom support: pdf …
