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Wolfram U

Statistical Distributions: Wolfram U Class

via Wolfram U

Overview

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Free online course explores statistical properties of derived distributions, probability distributions & mixture distributions using the Wolfram Language.

Course Overview
The Wolfram Language includes extensive coverage for statistical distributions. This class explores the properties of derived distributions, probability distributions, mixture distributions and more. Other topics include random number generation and parameter estimation. This class assumes basic familiarity with the Wolfram Language and statistics concepts.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To


Compute various properties of statistical distributions using Wolfram Language built-in functions
Estimate probabilities and expectations
Generate random numbers for simulations
Estimate parameters
Construct new derived and formula distributions


Define continuous probability distributions based on a probability density function (PDF)
Build component mixtures and parametric mixtures
Construct multivariate derived distributions and copulas
Construct nonparametric and survival distributions

Syllabus

  • Compute various properties of statistical distributions using Wolfram Language built-in functions
  • Estimate probabilities and expectations
  • Generate random numbers for simulations
  • Estimate parameters
  • Construct new derived and formula distributions
  • Define continuous probability distributions based on a probability density function (PDF)
  • Build component mixtures and parametric mixtures
  • Construct multivariate derived distributions and copulas
  • Construct nonparametric and survival distributions

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