ListLogPlot (Built-in Mathematica Symbol)

ListLogPlot[{y_1, y_2, ...}] makes a log plot of the y_i, assumed to correspond to x coordinates 1, 2, ....ListLogPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log plot of the ...

DifferenceDelta (Built-in Mathematica Symbol)

DifferenceDelta[f, i] gives the discrete difference \[DifferenceDelta]_i f = f(i + 1) - f(i).DifferenceDelta[f, {i, n}] gives the multiple difference DifferenceDelta[f, {i, ...

PrivateFontOptions (Built-in Mathematica Symbol)

PrivateFontOptions -> {opt_1 -> val_1, opt_2 -> val_2, ...} is an option for selections that specifies settings for various font suboptions.

BetaBinomialDistribution (Built-in Mathematica Symbol)

BetaBinomialDistribution[\[Alpha], \[Beta], n] represents a beta binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n binomial trials.

GumbelDistribution (Built-in Mathematica Symbol)

GumbelDistribution[\[Alpha], \[Beta]] represents a Gumbel distribution with location parameter \[Alpha] and scale parameter \[Beta].

HoytDistribution (Built-in Mathematica Symbol)

HoytDistribution[q, \[Omega]] represents a Hoyt distribution with shape parameter q and spread parameter \[Omega].

LogisticDistribution (Built-in Mathematica Symbol)

LogisticDistribution[\[Mu], \[Beta]] represents a logistic distribution with mean \[Mu] and scale parameter \[Beta].

NegativeBinomialDistribution (Built-in Mathematica Symbol)

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

PascalDistribution (Built-in Mathematica Symbol)

PascalDistribution[n, p] represents a Pascal distribution with parameters n and p.

Tensors (Mathematica Tutorial)

Tensors are mathematical objects that give generalizations of vectors and matrices. In Mathematica, a tensor is represented as a set of lists, nested to a certain number of ...