Free online class explores model fitting & analysis, linear and nonlinear regression & analysis of variance (ANOVA) using the Wolfram Language.
Summary
This class explores the built-in Wolfram Language framework for linear and nonlinear regression, logit, probit and generalized linear models, as well as optimization functions, linear algebra functions and a package for analysis of variance (ANOVA). The class assumes basic familiarity with the Wolfram Language and statistics concepts.
Featured Products & Technologies: Wolfram Language
You'll Learn To
Perform linear regression analysis using built-in Wolfram Language functions
Construct generalized linear models
Construct binomial logistic and probit regression models to model probability responses
Perform nonlinear regression analysis
Carry out analysis of variance using the built-in ANOVA package
Summary
This class explores the built-in Wolfram Language framework for linear and nonlinear regression, logit, probit and generalized linear models, as well as optimization functions, linear algebra functions and a package for analysis of variance (ANOVA). The class assumes basic familiarity with the Wolfram Language and statistics concepts.
Featured Products & Technologies: Wolfram Language
You'll Learn To
Perform linear regression analysis using built-in Wolfram Language functions
Construct generalized linear models
Construct binomial logistic and probit regression models to model probability responses
Perform nonlinear regression analysis
Carry out analysis of variance using the built-in ANOVA package
