HypergeometricDistribution[n, n_succ, n_tot] represents a hypergeometric distribution.
InverseChiSquareDistribution[\[Nu]] represents an inverse \[Chi]^2 distribution with \[Nu] degrees of freedom.InverseChiSquareDistribution[\[Nu], \[Xi]] represents a scaled ...
LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].
LogisticDistribution[\[Mu], \[Beta]] represents a logistic distribution with mean \[Mu] and scale parameter \[Beta].
LogLinearPlot[f, {x, x_min, x_max}] generates a log-linear plot of f as a function of x from x_min to x_max. LogLinearPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates ...
LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].
LogPlot
(Built-in Mathematica Symbol) LogPlot[f, {x, x_min, x_max}] generates a log plot of f as a function of x from x_min to x_max. LogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log plots of several ...
MultivariatePoissonDistribution[\[Mu]_0, {\[Mu]_1, \[Mu]_2, \ ...}] represents a multivariate Poisson distribution with mean vector {\[Mu]_0 + \[Mu]_1, \[Mu]_0 + \[Mu]_2, ...
NegativeBinomialDistribution[n, p] represents a negative binomial distribution with parameters n and p.
NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.