HoytDistribution[q, \[Omega]] represents a Hoyt distribution with shape parameter q and spread parameter \[Omega].
InverseChiSquareDistribution[\[Nu]] represents an inverse \[Chi]^2 distribution with \[Nu] degrees of freedom.InverseChiSquareDistribution[\[Nu], \[Xi]] represents a scaled ...
KalmanEstimator[ss, {w, v}] constructs the Kalman estimator for the StateSpaceModel object ss with process and measurement noise covariance matrices w and v. ...
LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].
LQEstimatorGains[ss, {w, v}] gives the optimal estimator gain matrix for the StateSpaceModel object ss with process and measurement noise covariance matrices w and ...
MultivariatePoissonDistribution[\[Mu]_0, {\[Mu]_1, \[Mu]_2, \ ...}] represents a multivariate Poisson distribution with mean vector {\[Mu]_0 + \[Mu]_1, \[Mu]_0 + \[Mu]_2, ...
NoncentralBetaDistribution[\[Alpha], \[Beta], \[Delta]] represents a noncentral beta distribution with shape parameters \[Alpha], \[Beta] and noncentrality parameter \[Delta].
PascalDistribution[n, p] represents a Pascal distribution with parameters n and p.
PolyaAeppliDistribution[\[Theta], p] represents a Polya\[Dash]Aeppli distribution with shape parameters \[Theta] and p.
SinghMaddalaDistribution[q, a, b] represents the Singh\[Dash]Maddala distribution with shape parameters q and a and scale parameter b.