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, ...

IDA Method for NDSolve (Mathematica Tutorial)

The IDA package is part of the SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers) developed at the Center for Applied Scientific Computing of Lawrence ...

DensityHistogram (Built-in Mathematica Symbol)

DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a density histogram of the values {x_i, y_i}.DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, bspec] plots a density ...

WienerFilter (Built-in Mathematica Symbol)

WienerFilter[image, r] removes noise from image by applying a range-r Wiener filter.WienerFilter[image, r, ns] assumes an additive noise power value ns.

DistributionChart (Built-in Mathematica Symbol)

DistributionChart[{data_1, data_2, ...}] makes a distribution chart with a distribution symbol for each data_i.DistributionChart[{..., w_i[data_i, ...], ..., w_j[data_j, ...

PairedHistogram (Built-in Mathematica Symbol)

PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}] plots a paired histogram of the values x_i and y_i.PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}, bspec] plots a paired ...

ProbabilityScalePlot (Built-in Mathematica Symbol)

ProbabilityScalePlot[{x_1, x_2, ...}] generates a normal probability plot of the samples x_i. ProbabilityScalePlot[{x_1, x_2, ...}, " dist"] generates a probability plot ...

Summary of New Features in 7.0 (Mathematica Guide)

The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...

BetaPrimeDistribution (Built-in Mathematica Symbol)

BetaPrimeDistribution[p, q] represents a beta prime distribution with shape parameters p and q. BetaPrimeDistribution[p, q, \[Beta]] represents a generalized beta prime ...

ListPointPlot3D (Built-in Mathematica Symbol)

ListPointPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a 3D scatter plot of points with coordinates {x_i, y_i, z_i}. ListPointPlot3D[array] generates a 3D scatter ...