ConoverTest (Built-in Mathematica Symbol)

ConoverTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.ConoverTest[dspec, \[Sigma]_0^2] tests a dispersion measure against ...

ExtremeValueDistribution (Built-in Mathematica Symbol)

ExtremeValueDistribution[\[Alpha], \[Beta]] represents an extreme value distribution with location parameter \[Alpha] and scale parameter \[Beta].

FisherRatioTest (Built-in Mathematica Symbol)

FisherRatioTest[data] tests whether the variance of data is one. FisherRatioTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...

GeometricDistribution (Built-in Mathematica Symbol)

GeometricDistribution[p] represents a geometric distribution with probability parameter p.

Log (Built-in Mathematica Symbol)

Log[z] gives the natural logarithm of z (logarithm to base e). Log[b, z] gives the logarithm to base b.

OutputResponse (Built-in Mathematica Symbol)

OutputResponse[sys, u, t] gives the output response of a TransferFunctionModel or StateSpaceModel object sys to the input u as a function of time t.OutputResponse[sys, u, {t, ...

SiegelTukeyTest (Built-in Mathematica Symbol)

SiegelTukeyTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.SiegelTukeyTest[dspec, \[Sigma]_0^2] tests a dispersion measure against ...

TreeForm (Built-in Mathematica Symbol)

TreeForm[expr] displays expr as a tree with different levels at different depths. TreeForm[expr, n] displays expr as a tree only down to level n.

UniformSumDistribution (Built-in Mathematica Symbol)

UniformSumDistribution[n] represents the distribution of a sum of n random variables uniformly distributed from 0 to 1.UniformSumDistribution[n, {min, max}] represents the ...

Numerical Solution of Differential ... (Mathematica Tutorial)

The function NDSolve discussed in "Numerical Differential Equations" allows you to find numerical solutions to differential equations. NDSolve handles both single ...