Quantile[list, q] gives the q\[Null]\[Null]^th quantile of list. Quantile[list, {q_1, q_2, ...}] gives a list of quantiles q_1, q_2, .... Quantile[list, q, {{a, b}, {c, d}}] ...
RandomImage[max, {w, h}] gives an image of dimensions {w, h} with pseudorandom pixel values generated from a uniform distribution in the range 0 to max.RandomImage[{min, ...
MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...
CauchyDistribution[a, b] represents a Cauchy distribution with location parameter a and scale parameter b.
FisherZDistribution[n, m] represents a Fisher z distribution with n numerator and m denominator degrees of freedom.
BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.
DiscreteLQEstimatorGains[ss, {w, v}, \[Tau]] gives the optimal discrete-time estimator gain matrix with sampling period \[Tau] for the continuous-time StateSpaceModel object ...
The functions described here are among the most commonly used continuous univariate statistical distributions. You can compute their densities, means, variances, and other ...
Mathematica integrates many aspects of statistical data analysis, from getting and exploring data to building high-quality models and and deducing consequences. Mathematica ...
DistributionParameterAssumptions[dist] gives a logical expression for assumptions on parameters in the symbolic distribution dist.