Numerical Data (Mathematica Guide)

Huge numerical datasets are routine for Mathematica. Its powerful array primitives make large-scale array manipulation both easy to specify and highly efficient. And its ...

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".

Hypothesis Testing Package (Hypothesis Testing Package Tutorial)

This package contains functions for computing confidence intervals from data and p-values and confidence intervals for distributions related to the normal distribution. Given ...

BarabasiAlbertGraphDistribution (Built-in Mathematica Symbol)

BarabasiAlbertGraphDistribution[n, k] represents a Barabasi\[Dash]Albert graph distribution for n-vertex graphs where a new vertex with k edges is added at each step.

WattsStrogatzGraphDistribution (Built-in Mathematica Symbol)

WattsStrogatzGraphDistribution[n, p] represents the Watts\[Dash]Strogatz graph distribution for n-vertex graphs with rewiring probability p.WattsStrogatzGraphDistribution[n, ...

CopulaDistribution (Built-in Mathematica Symbol)

CopulaDistribution[ker, {dist_1, dist_2, ...}] represents a copula distribution with kernel distribution ker and marginal distributions dist_1, dist_2, ....

Statistics`DiscreteDistributions` (Mathematica Compatibility Information)

Distributions defined in this package have been added to the built-in Mathematica kernel. The input syntax for DiscreteUniformDistribution has changed. Random and RandomArray ...

Censoring (Built-in Mathematica Symbol)

Censoring[t, c] represents a censored event time t with censoring c.Censoring[{t_1, t_2, ...}, c] represents a vector of censored event times t_i with censoring ...

HeavisidePi (Built-in Mathematica Symbol)

HeavisidePi[x] represents the box distribution \[CapitalPi](x), equal to 1 for |x| < 1/2 and 0 for |x| > 1/2.HeavisidePi[x_1, x_2, ...] represents the multidimensional box ...

Perform a Bootstrap Analysis (Mathematica How To)

Suppose that you have a limited amount of data from which to obtain estimates of statistics for a population. The sampling distribution for those estimates can be ...