LogisticDistribution (Built-in Mathematica Symbol)

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

NegativeMultinomialDistribution (Built-in Mathematica Symbol)

NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.

NoncentralBetaDistribution (Built-in Mathematica Symbol)

NoncentralBetaDistribution[\[Alpha], \[Beta], \[Delta]] represents a noncentral beta distribution with shape parameters \[Alpha], \[Beta] and noncentrality parameter \[Delta].

Cell (Built-in Mathematica Symbol)

Cell[contents] is the low-level representation of a cell inside a Mathematica notebook. Cell[contents, " style"] represents a cell in the specified style.

Likelihood (Built-in Mathematica Symbol)

Likelihood[dist, {x_1, x_2, ...}] gives the likelihood function for observations x_1, x_2, ... from the distribution dist.

EmpiricalDistribution (Built-in Mathematica Symbol)

EmpiricalDistribution[{x_1, x_2, ...}] represents an empirical distribution based on the data values x_i.EmpiricalDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] ...

Some Notes on Internal Implementation (Mathematica Tutorial)

General issues about the internal implementation of Mathematica are discussed in "The Internals of Mathematica". Given here are brief notes on particular features. These ...

TraditionalForm Reference Information (Mathematica Tutorial)

TraditionalForm differs from StandardForm, the default format for input and output. It is important to understand that TraditionalForm expressions cannot always be provided ...

CentralMoment (Built-in Mathematica Symbol)

CentralMoment[list, r] gives the r\[Null]^th central moment of the elements in list with respect to their mean.CentralMoment[dist, r] gives the r\[Null]^th central moment of ...

Series (Built-in Mathematica Symbol)

Series[f, {x, x_0, n}] generates a power series expansion for f about the point x = x_0 to order (x - x_0) n. Series[f, {x, x_0, n_x}, {y, y_0, n_y}, ...] successively finds ...