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ListVectorDensityPlot   (Built-in Mathematica Symbol)
ListVectorDensityPlot[array] generates a vector plot from a 2D array of vector and scalar field values {{vx_ij, vy_ij}, s_ij}. ListVectorDensityPlot[{{{x_1, y_1}, {{vx_1, ...
RayleighDistribution   (Built-in Mathematica Symbol)
RayleighDistribution[\[Sigma]] represents the Rayleigh distribution with scale parameter \[Sigma].
Alphabetical Listing   (Mathematica Guide)
Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...
ListStreamPlot   (Built-in Mathematica Symbol)
ListStreamPlot[array] generates a stream plot from an array of vector field values.ListStreamPlot[{{{x_1, y_1}, {vx_1, vy_1}}, ...}] generates a stream plot from vector field ...
LogNormalDistribution   (Built-in Mathematica Symbol)
LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].
EstimatedDistribution   (Built-in Mathematica Symbol)
EstimatedDistribution[data, dist] estimates the parametric distribution dist from data.EstimatedDistribution[data, dist, {{p, p_0}, {q, q_0}, ...}] estimates the parameters ...
WeibullDistribution   (Built-in Mathematica Symbol)
WeibullDistribution[\[Alpha], \[Beta]] represents a Weibull distribution with shape parameter \[Alpha] and scale parameter \[Beta].WeibullDistribution[\[Alpha], \[Beta], ...
NProbability   (Built-in Mathematica Symbol)
NProbability[pred, x \[Distributed] dist] gives the numerical probability for an event that satisfies the predicate pred under the assumption that x follows the probability ...
BarChart3D   (Built-in Mathematica Symbol)
BarChart3D[{y_1, y_2, ...}] makes a 3D bar chart with bar lengths y_1, y_2, ....BarChart3D[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a 3D bar chart with bar ...
FindDistributionParameters   (Built-in Mathematica Symbol)
FindDistributionParameters[data, dist] finds the parameter estimates for the distribution dist from data.FindDistributionParameters[data, dist, {{p, p_0}, {q, q_0}, ...}] ...
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