LogGamma (Built-in Mathematica Symbol)

LogGamma[z] gives the logarithm of the gamma function log \[CapitalGamma](z).

LogicalExpand (Built-in Mathematica Symbol)

LogicalExpand[expr] expands out logical combinations of equations, inequalities, and other functions.

LogIntegral (Built-in Mathematica Symbol)

LogIntegral[z] is the logarithmic integral function li(z).

LogisticDistribution (Built-in Mathematica Symbol)

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

LogitModelFit (Built-in Mathematica Symbol)

LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...

LogLikelihood (Built-in Mathematica Symbol)

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

LogLinearPlot (Built-in Mathematica Symbol)

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 (Built-in Mathematica Symbol)

LogLogisticDistribution[\[Gamma], \[Sigma]] represents a log-logistic distribution with shape parameter \[Gamma] and scale parameter \[Sigma].

LogLogPlot (Built-in Mathematica Symbol)

LogLogPlot[f, {x, x_min, x_max}] generates a log-log plot of f as function of x from x_min to x_max. LogLogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log-log plots of ...

Log (Built-in Mathematica Symbol)

Log[z] gives the natural logarithm of z (logarithm to base e). Log[b, z] gives the logarithm to base b.