ShinyServer

List of contents

Shiny apps

• Simple linear regression
  • Regression coefficients, least squares and distance choice
  • Randomness of the regression line
  • Coverage of the confidence intervals
  • Confidence intervals for prediction
  • ANOVA decomposition
  • Dealing with nonlinear relationships
• Multiple linear regression
  • Least squares and distance choice
  • Assumptions of the linear model
  • ANOVA decomposition
  • Dealing with nonlinear relationships
  • Linear regression, principal component analysis, and partial least squares
• Logistic regression
  • Logistic curve and maximum likelihood fit
  • Randomness of the logistic regression curve
  • Confidence intervals for prediction
  • Dealing with nonlinear relationships
• Nonparametric density estimation
  • Bias and variance of the moving histogram
  • Construction of the kernel density estimator
  • Bandwidth selection in kernel density estimation
  • Transformation of kernel density estimator
• Nonparametric regression estimation
  • Construction of the local polynomial regression estimator
  • Construction of the local likelihood estimator
• Other
  • An illustration of nonparametric vs parametric estimation

Rmd documents

• A 10 minute-ish introduction to linear regression

License

All the material in this repository is licensed under CC BY-NC-ND 4.0.