MardiaCombinedTest (Built-in Mathematica Symbol)

MardiaCombinedTest[data] tests whether data follows a MultinormalDistribution using the Mardia combined test.MardiaCombinedTest[data, " property"] returns the value of " ...

ShapiroWilkTest (Built-in Mathematica Symbol)

ShapiroWilkTest[data] tests whether data is normally distributed using the Shapiro\[Dash]Wilk test.ShapiroWilkTest[data, " property"] returns the value of " property".

CramerVonMisesTest (Built-in Mathematica Symbol)

CramerVonMisesTest[data] tests whether data is normally distributed using the Cramér\[Dash]von Mises test.CramerVonMisesTest[data, dist] tests whether data is distributed ...

HistogramList (Built-in Mathematica Symbol)

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 ...

JarqueBeraALMTest (Built-in Mathematica Symbol)

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

KuiperTest (Built-in Mathematica Symbol)

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 ...

MardiaKurtosisTest (Built-in Mathematica Symbol)

MardiaKurtosisTest[data] tests whether data follows a MultinormalDistribution using the Mardia kurtosis test.MardiaKurtosisTest[data, " property"] returns the value of " ...

MardiaSkewnessTest (Built-in Mathematica Symbol)

MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...

NegativeBinomialDistribution (Built-in Mathematica Symbol)

NegativeBinomialDistribution[n, p] represents a negative binomial distribution with parameters n and p.

ParallelCombine (Built-in Mathematica Symbol)

ParallelCombine[f, h[e_1, e_2, ...], comb] evaluates f[h[e_1, e_2, ...]] in parallel by distributing parts of the computation to all parallel kernels and combining the ...