LogisticDistribution[\[Mu], \[Beta]] represents a logistic distribution with mean \[Mu] and scale parameter \[Beta].
MatrixExp[m] gives the matrix exponential of m. MatrixExp[m, v] gives the matrix exponential of m applied to the vector v.
Probability[pred, x \[Distributed] dist] gives the probability for an event that satisfies the predicate pred under the assumption that x follows the probability distribution ...
Graphics[primitives, options] represents a two-dimensional graphical image.
ListPointPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a 3D scatter plot of points with coordinates {x_i, y_i, z_i}. ListPointPlot3D[array] generates a 3D scatter ...
ArrayRules[SparseArray[...]] gives the rules {pos_1 -> val_1, pos_2 -> val_2, ...} specifying elements in a sparse array. ArrayRules[list] gives rules for SparseArray[list].
BinLists[{x_1, x_2, ...}] gives lists of the elements x_i whose values lie in successive integer bins.BinLists[{x_1, x_2, ...}, dx] gives lists of the elements x_i whose ...
Mean
(Built-in Mathematica Symbol) Mean[list] gives the statistical mean of the elements in list. Mean[dist] gives the mean of the symbolic distribution dist.
NevilleThetaD[z, m] gives the Neville theta function \[CurlyTheta]_d (z \[VerticalSeparator] m).
SkellamDistribution[\[Mu]_1, \[Mu]_2] represents a Skellam distribution with shape parameters \[Mu]_1 and \[Mu]_2.