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Learn to use the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics.
Course Overview
The Wolfram Language has the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics. This class demonstrates application of these functions for modeling and analysis in statistics. Presentation topics include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and statistical visualization functionality.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Perform analysis using high-level functions
Use properties of distributions
Create models using parametric, nonparametric, formula and derived distributions
Visualize statistical data using built-in functions
Course Overview
The Wolfram Language has the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics. This class demonstrates application of these functions for modeling and analysis in statistics. Presentation topics include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and statistical visualization functionality.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Perform analysis using high-level functions
Use properties of distributions
Create models using parametric, nonparametric, formula and derived distributions
Visualize statistical data using built-in functions
