ConoverTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.ConoverTest[dspec, \[Sigma]_0^2] tests a dispersion measure against ...
GraphicsGrid[{{g_11, g_12, ...}, ...}] generates a graphic in which the g_ij are laid out in a two-dimensional grid.
GumbelDistribution[\[Alpha], \[Beta]] represents a Gumbel distribution with location parameter \[Alpha] and scale parameter \[Beta].
InterpolatingPolynomial[{f_1, f_2, ...}, x] constructs an interpolating polynomial in x which reproduces the function values f_i at successive integer values 1, 2, ... of x. ...
N
(Built-in Mathematica Symbol) N[expr] gives the numerical value of expr. N[expr, n] attempts to give a result with n-digit precision.
PolyaAeppliDistribution[\[Theta], p] represents a Polya\[Dash]Aeppli distribution with shape parameters \[Theta] and p.
Here is a system of two ODEs whose coefficient matrix has real and distinct eigenvalues. This solves the system. Note that the general solution depends on two arbitrary ...
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 ...
VarianceTest[data] tests whether the variance of the data is one. VarianceTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...
Mathematica provides representation of algebraic numbers as Root objects. A Root object contains the minimal polynomial of the algebraic number and the root number—an integer ...