Functions Used in Statistics

The Wolfram Language's sophisticated algorithms for handling higher mathematical functions to arbitrary precision—and in symbolic form—immediately brings a new level of accuracy—and analytical capability—to statistical computation.

(RefLink[Erf, paclet:ref/Erf]), (RefLink[Erfc, paclet:ref/Erfc]) — integrals of the normal distribution

(RefLink[InverseErf, paclet:ref/InverseErf]), (RefLink[InverseErfc, paclet:ref/InverseErfc]) — confidence intervals of the normal distribution

(RefLink[BetaRegularized, paclet:ref/BetaRegularized]) — CDF of Student t distribution

(RefLink[InverseBetaRegularized, paclet:ref/InverseBetaRegularized]) — quantiles of Student t and beta distributions

(RefLink[GammaRegularized, paclet:ref/GammaRegularized]) — CDF of gamma and Poisson distributions

(RefLink[InverseGammaRegularized, paclet:ref/InverseGammaRegularized]) — quantiles of gamma and related distributions

(RefLink[MarcumQ, paclet:ref/MarcumQ]) — CDF of Rice and Skellam distributions

(RefLink[OwenT, paclet:ref/OwenT]) — part of CDF of skew normal distribution

(RefLink[RankedMin, paclet:ref/RankedMin]), (RefLink[RankedMax, paclet:ref/RankedMax]) — order statistics of vectors of variables

(OrangeLink[Statistical Distributions », paclet:guide/ParametricStatisticalDistributions])