Mathematica offers multiple ways of plotting functions of one variable. These include ordinary plots, log plots, parametric plots, and polar plots.
BeniniDistribution[\[Alpha], \[Beta], \[Sigma]] represents a Benini distribution with shape parameters \[Alpha] and \[Beta] and scale parameter \[Sigma].
LinkFunction is an option for GeneralizedLinearModelFit that specifies the link function for the generalized linear model.
DateListLogPlot[{{date_1, v_1}, {date_2, v_2}, ...}] makes a log plot with values v_i at a sequence of dates.DateListLogPlot[{v_1, v_2, ...}, datespec] makes a log plot with ...
ExpGammaDistribution[\[Kappa], \[Theta], \[Mu]] represents an exp-gamma distribution with shape parameter \[Kappa], scale parameter \[Theta], and location parameter \[Mu].
FisherZDistribution[n, m] represents a Fisher z distribution with n numerator and m denominator degrees of freedom.
DagumDistribution[p, a, b] represents a Dagum distribution with shape parameters p and a and scale parameter b.
There are a variety of ways to describe probability distributions such as probability density or mass, cumulative versions of density and mass, inverses of the cumulative ...
ExtremeValueDistribution[\[Alpha], \[Beta]] represents an extreme value distribution with location parameter \[Alpha] and scale parameter \[Beta].
WaveletBestBasis[dwd] computes a best basis representation in the DiscreteWaveletData object dwd.WaveletBestBasis[dwd, cspec] computes a best basis representation using the ...