Note: Final Exam is cumulative and comprehensive!
Review Outline for Nonparametric Statistics (After Midterm Exam)
Homework #6-10
Chapter 5 Two-Sample Dispersion and Other Two-Sample Problems
- 5.4 Kolmogorov-Smirnov Test, J (R: ks.test)
Chapter 6 One-Way Layout
- 6.1 Kruskal-Wallis Test, H (R: kruskal.test)
Chapter 8 Independence Problem
- 8.1 Kendall tau, tau (R: cor.test)
- 8.4 Nonparametric Bootstrap and CIs (R: bootstrap, bcanon)
- 8.5 Spearman Rank Test, r_S (R: cor.test) (BY HAND)
- Permutation Tests (R: perm.test)
Chapter 12 Density Estimation
- 12.1 Histograms (R: hist) (OMIT)
- 12.2 - 12.3 Kernel Density Estimation (R: density)
Chapter 9 and 14 Nonparametric Regression and Smoothing
- 14.1-14.4 Kernel Smoothing (R: ksmooth)
- 9.7 and Notes Smoothing Spline (R: smooth.spline)