Statistics 5601 (Geyer, Spring 2006) Examples

This page indexes the examples used in class and in the computing lab for Statistics 5601 Nonparametric Methods, at the University of Minnesota, Spring 2006.

• The R Statistical Computer Language
  • An Introduction to R and Rweb
  • Probability Distributions in R
  • Colorful Plots in R (also Line Types)
• Classical Rank Procedures
  • Sign Test and Related Procedures
  • Fuzzy P-Values and Confidence Intervals
  • Wilcoxon Signed Rank Test and Related Procedures
  • Wilcoxon Rank Sum Test and Related Procedures
  • One-Way Layout Procedures
  • Two-Way Layout Procedures
  • Procedures for Independence or Correlation
  • Efficiency and Breakdown Point (also linked from theory page).
• Kolmogorov-Smirnov Tests and Related Procedures
• Survival Analysis
• The Nonparametric Bootstrap
  • Bootstrap Standard Errors
  • Subsampling
  • Regression
  • Bias Estimation and Correction
  • Bootstrap T Intervals
  • Bootstrap Percentile Intervals
  • Better Bootstrap Confidence Intervals
  • Subsampling Bootstrap Confidence Intervals
  • Nonparametric Bootstrap Hypothesis Tests
• Smoothing
  • A Variety of Smoothers
  • Bandwidth Selection
• The Parametric Bootstrap
• The Sandwich Estimator