Kurtosis[list] gives the coefficient of kurtosis for the elements in list.Kurtosis[dist] gives the coefficient of kurtosis for the symbolic distribution dist.

FindThreshold[image] finds a global threshold value that partitions the intensity values in image into two intervals.

HazardFunction[dist, x] gives the hazard function for the symbolic distribution dist evaluated at x.HazardFunction[dist, {x_1, x_2, ...}] gives the multivariate hazard ...

MeanShiftFilter[image, r, d] replaces each pixel with the mean of the pixels in a range-r neighborhood and whose value is within a distance d.MeanShiftFilter[array, r, d] ...

VerifyTestAssumptions is an option to LocationTest and similar functions that controls which assumptions to verify through diagnostic tests.

MarginalDistribution[dist, k] represents a univariate marginal distribution of the k\[Null]^th coordinate from the multivariate distribution dist.MarginalDistribution[dist, ...

Monte Carlo methods use randomly generated numbers or events to simulate random processes and estimate complicated results. For example, they are used to model financial ...

LevyDistribution[\[Mu], \[Sigma]] represents a Lévy distribution with location parameter \[Mu] and dispersion parameter \[Sigma].

SurvivalFunction[dist, x] gives the survival function for the symbolic distribution dist evaluated at x.SurvivalFunction[dist, {x_1, x_2, ...}] gives the multivariate ...

Functionality in this package has been added to the built-in Mathematica kernel or incorporated into newly created packages. CDF, PDF and CharacteristicFunction are built ...