STAT 518 (Nonparametric Statistics)

STAT 518 (Nonparametric Statistics)

Fall 2017

Instructor

David Hitchcock, associate professor of statistics

Syllabus

Syllabus: (Word document) or (pdf document)

Office Hours -- Fall 2017

Mon-Wed-Fri, 10:45-11:55 a.m., or please feel free to make an appointment to see me at other times.

Office: 209A LeConte College
Phone: 777-5346
E-mail: hitchcock@stat.sc.edu

Class Meeting Time

MWF 9:40 am - 10:30 am, WMBB Nursing 409 or via distance by streaming video

Current Textbook

Practical Nonparametric Statistics (3rd Edition), by W.J. Conover, Wiley, 1999.
[NOTE: This is an older book, but an excellent one. If you can find a reasonably priced used copy, I highly recommend getting it.]

Course Description

518—Nonparametric Statistical Methods (3) (Prereq: A grade of C or better in STAT 515 or equivalent) Application of nonparametric statistical methods rather than mathematical development. Levels of measurement, comparisons of two independent populations, comparisons of two dependent populations, test of fit, nonparametric analysis of variance, and correlation.

Purpose: To introduce the principles and applications of commonly used nonparametric methods. To compare these methods to their parametric counterparts. To introduce the basic methods for analyzing contingency tables.

Computing Resources

R is available as a free download from the CRAN home page).
This software is also available on the computers in the labs in LeConte College (and a few other buildings).
Help in using R can be found on the CRAN home page.

Downloading Instructions for R

Instructions for Downloading R

Course Notes

These are some incomplete notes that we will fill in during the lectures.
You may print out these notes ahead of time and bring them to class.
After we cover each section, I will post filled-in versions of the notes on this course web page.

Chapter 2 notes, Sec. 2.1-2.2: (Word document) or (pdf file)

Chapter 2 notes, Sec. 2.1-2.2: FILLED IN

Chapter 2 notes, Sec. 2.3-2.5: (Word document) or (pdf file)

Chapter 2 notes, Sec. 2.3-2.5: FILLED IN

Chapter 3 notes, Sec. 3.1-3.2: (Word document) or (pdf file)

Chapter 3 notes, Sec. 3.1: FILLED IN

Chapter 3 notes, Sec. 3.2: FILLED IN

Chapter 3 notes, Sec. 3.4-3.5: (Word document) or (pdf file)

Chapter 3 notes, Sec. 3.4: FILLED IN

Chapter 3 notes, Sec. 3.5: FILLED IN

Chapter 5 notes, Sec. 5.7: (Word document) or (pdf file)

Chapter 5 notes, Sec. 5.7: FILLED IN

Chapter 5 notes, Sec. 5.1-5.2: (Word document) or (pdf file)

Chapter 5 notes, Sec. 5.1: FILLED IN

Chapter 5 notes, Sec. 5.2: FILLED IN

Chapter 5 notes, Sec. 5.3-5.4: (Word document) or (pdf file)

Chapter 5 notes, Sec. 5.3: FILLED IN

Chapter 5 notes, Sec. 5.4: FILLED IN

Chapter 5 notes, Sec. 5.5 & Nonparametric Regression: (Word document) or (pdf file)

Chapter 5 notes, Sec. 5.5: FILLED IN

Chapter 5 notes, Nonparametric Regression: FILLED IN

Chapter 5 notes, Sec. 5.8 & 5.11-5.12: (Word document) or (pdf file)

Chapter 5 notes, Sec. 5.8: FILLED IN

Chapter 5 notes, Sec. 5.11-5.12: FILLED IN

Chapter 6 notes, Sec. 6.1-6.3: (Word document) or (pdf file)

Chapter 6 notes, Sec. 6.1: FILLED IN

Chapter 6 notes, Sec. 6.2-6.3: FILLED IN

Chapter 4 notes, Sec. 4.5 & 4.1: (Word document) or (pdf file)

Chapter 4 notes, Sec. 4.5 and 4.1: FILLED IN

Chapter 4 notes, Sec. 4.2 & 4.3: (Word document) or (pdf file)

Chapter 4 notes, Sec. 4.2 and 4.3: FILLED IN

Chapter 4 notes, Sec. 4.4 & 4.6: (Word document) or (pdf file)

Chapter 4 notes, Sec. 4.4 and 4.6: FILLED IN

Chapter 4 notes, Sec. 4.7: (Word document) or (pdf file)

Chapter 4 notes, Sec. 4.7: FILLED IN

Extra notes, Density Estimation: (Word document) or (pdf file)

Extra notes, Density Estimation: FILLED IN

Homework

NOTE: When you turn in the homeworks, you may either turn in a hard copy to me by hand, or you may submit the homework to me through email (Word document or pdf is preferred for submissions via email).

STAT 518 Homework 1, Fall 2017: (Word document) or (pdf file) (due ~~Tuesday, Sept. 12 by 3:00 p.m.~~ Wednesday, Sept. 13 by 10:30 a.m.)

STAT 518 Homework 2, Fall 2017: (Word document) or (pdf file) (due Friday, Sept. 22 by 3:00 p.m.)

STAT 518 Homework 3, Fall 2017: (Word document) or (pdf file) (due Friday, Oct. 13, by 10:30 a.m.)

STAT 518 Homework 4, Fall 2017: (Word document) or (pdf file) (due Friday, Oct. 27, by 10:30 a.m.)

STAT 518 Homework 5, Fall 2017: (Word document) or (pdf file) (due Friday, Nov. 17, by 10:30 a.m.)

STAT 518 Homework 6, Fall 2017: (Word document) or (pdf file) (due Tuesday, Dec. 5, by 3:00 p.m.)

Homework Solutions

STAT 518 Homework 1 Example Solutions, Fall 2017

STAT 518 Homework 2 Example Solutions, Fall 2017

STAT 518 Homework 3 Example Solutions, Fall 2017

Example R Code for STAT 518 Homework 3 Solutions, Fall 2017

STAT 518 Homework 4 Example Solutions, Fall 2017

STAT 518 Homework 5 Example Solutions, Fall 2017

Example R Code for STAT 518 Homework 5 Solutions, Fall 2017

STAT 518 Homework 6 Example Solutions, Fall 2017

Example R Code for STAT 518 Homework 6 Solutions, Fall 2017

R Code for Class Examples

Instructions for Downloading R

R Example code: Empirical Distribution Function and Bootstrap Examples

R Example code: Calculating Power Functions

R Example code: Binomial Test

R Example code: Quantile Test

R Example code: Sign Test (and McNemar and Cox-Stuart tests)

R Example code: Wilcoxon Signed-Rank Test

R Example code: Mann-Whitney Test

R Example code: Kruskal-Wallis Test

R Example code: Tests for Variances (Talwar-Gentle and Fligner-Killeen)

R Example code: Measures of Rank Correlation (Spearman's Rho and Kendall's Tau)

R Example code: Nonparametric Linear Regression and Nonparametric Regression

R Example code: Block Designs

R Example code: Randomization and Permutation Tests

R Example code: Kolmogorov-Type Goodness-of-Fit Tests

R Example code: Chi-Square Goodness-of-Fit Tests

R Example code: Z-Test for 2 Proportions, Fisher's Exact Test, Mantel-Haentzel Test

R Example code: Chi-Square Tests for Homogeneity and for Independence, Exact Test with r-by-c tables

R Example code: Median Test

R Example code: Measures of Dependence, Cochran's Test

R Example code: Loglinear Models

R Example code: Density Estimation

Formula Sheets

You may bring to the first exam one standard-sized sheet of paper with anything you want written on it (for example, you should write any formulas you may need).

You may bring to the second exam one standard-sized sheet of paper with anything you want written on it (for example, you should write any formulas you may need).

You may bring to the final exam one standard-sized sheet of paper with anything you want written on it (for example, you should write any formulas you may need).