DiscreteRiccatiSolve[{a, b}, {q, r}] gives the matrix x that is the stabilizing solution of the discrete algebraic Riccati equation ConjugateTranspose[a].x.a - x - ...

FindIntegerNullVector[{x_1, x_2, ..., x_n}] finds a list of integers a_i such that a_1 x_1 + a_2 x_2 + \[CenterEllipsis] + a_n x_n == 0. FindIntegerNullVector[{x_1, x_2, ..., ...

FrechetDistribution[\[Alpha], \[Beta]] represents the Frechet distribution with shape parameter \[Alpha] and scale parameter \[Beta].FrechetDistribution[\[Alpha], \[Beta], ...

HistogramList[{x_1, x_2, ...}] gives a list of bins and histogram heights of the values x_i.HistogramList[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] gives a list of bins and ...

HoytDistribution[q, \[Omega]] represents a Hoyt distribution with shape parameter q and spread parameter \[Omega].

JarqueBeraALMTest[data] tests whether data is normally distributed using the Jarque\[Dash]Bera ALM test.JarqueBeraALMTest[data, " property"] returns the value of " property".

KuiperTest[data] tests whether data is normally distributed using the Kuiper test.KuiperTest[data, dist] tests whether data is distributed according to dist using the Kuiper ...

LeveneTest[data] tests whether the variance of data is 1. LeveneTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.LeveneTest[dspec, ...

LiftingFilterData[...] represents lifting-filter data used to compute forward and inverse lifting wavelet transforms.

LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].