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 ...

Cumulant (Built-in Mathematica Symbol)

Cumulant[dist, r] gives the r\[Null]^th cumulant of the symbolic distribution dist.Cumulant[list, r] gives the r\[Null]^th cumulant of the elements in the list.Cumulant[r] ...

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 ...

LeveneTest (Built-in Mathematica Symbol)

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, ...

MannWhitneyTest (Built-in Mathematica Symbol)

MannWhitneyTest[{data_1, data_2}] tests whether the medians of data_1 and data_2 are equal.MannWhitneyTest[dspec, \[Mu]_0] tests the median difference against ...

NegativeMultinomialDistribution (Built-in Mathematica Symbol)

NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.

PairedTTest (Built-in Mathematica Symbol)

PairedTTest[data] tests whether the mean of data is zero. PairedTTest[{data_1, data_2}] tests whether the mean of data_1\[Dash] data_2 is zero.PairedTTest[dspec, \[Mu]_0] ...

PairedZTest (Built-in Mathematica Symbol)

PairedZTest[data] tests whether the mean of the data is zero. PairedZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.PairedZTest[dspec, ...

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 ...

OpenCLMemoryAllocate (OpenCLLink Symbol)

OpenCLMemoryAllocate[t, len] allocates a new one-dimensional list of type t returning OpenCLMemory.OpenCLMemoryAllocate[t, {d_1, d_2, ...}] allocates a new list of dimensions ...