Applied Regression Analysis (STAT 757), Spring 2016

Spring 2016 course website

Lectures: 1:00pm-2:15pm, Tues & Thurs, 19 Jan - 3 May, 2016 in DMS 106 (map)    
Syllabus: Click here to download (PDF). (Updated 18 Jan 2016)
Textbook: A Modern Approach to Regression with R, by S. Sheather. Text Website: www.stat.tamu.edu/~sheather/book/
Office Hours: By appointment or Tues 2:15-3:15pm and Weds 1pm-2pm in 220 DMSC

Software Resources

R: Install R first, then install RStudio.
See my R page, and also the textbook author's R tutorials: dist.stat.tamu.edu/pub/rvideos/

R Markup Resources: rmarkdown.rstudio.com

LaTeX Editor (optional): Use TeXStudio if you don't have a preferred editor.
See my LaTeX Resources page, bookmark the AMS Short Math Guide for LaTeX (PDF).

Tentative Schedule

For other important dates, see the UNR Spring 2016 Calendar.
Week Tuesday Thursday Notes
1: Jan 19, 21 Syllabus;
Introduction & overview		 week1-example.R Table of select probability distributions and applications:
prob-distributions.pdf
2: Jan 26, 28 Data and Graphics in R,
R Markdown.
HW1: Chapter1-assignment.pdf (Due 1/28)		 Data and Graphics in R
Prob. & Statistics Review
Chapter1-plots.Rmd
Chapter1-plots-modified.R		 Probability Notes: probability-review.pdf
HW2: Rmd or PDF
Solutions: PDF or Rmd
Slides: PDF
3: Feb 2, 4 Simple Linear Regression (Ch. 2 of the text). SLR Continued
Distributions revisited
Slides: PDF
4: Feb 9, 11 SLR Continued,
Confidence & Prediction Intervals. Slides: PDF
Optional HW: PDF or Rmd		 Finish Ch 2
ANOVA, Categorical SLR.
Slides: PDF
HW 3: #1,2,4,7 in Ch. 2. Due 2/18		 Note: Thursday slides were expanded to include (1) notes on using qt() in R, and (2) ANOVA details.
5: Feb 16, 18 Diagnostics and Remedial Measures for SLR (Ch 3)
Slides: PDF
R Files: week5a.zip		 (Ch 3 contd)
anascombe-xl.R
anascombe.xlsx
Slides: PDF		 R code: SLR-residuals.R, SLR-diagnostics.R
6: Feb 23, 25 Slides: PDF
quiz1.pdf		 Transformations (Ch 3.2)
7: Mar 1, 3 Transformations (Ch 3.2)
week7a.R		 Exam 1 Review
Finish Ch 3, start Ch 4		 Practice Exercises for Exam 1:
exam1-practice-exercises.pdf
8: Mar 8, 10 Exam 1 (in class) Ch 4
9: Mar 15, 17 mlr-sim.R
10: Mar 22, 24
11: Mar 29, 31 Ch. 5
mlr-sim-part1.R		 Data in R
Week11B.pdf (Rnw)
12: Apr 5, 7 Week12A.pdf
data.R
travel.R
13: Apr 12, 14 Ch.6
MLR-diagnostics.Rmd		 Ch. 7
variable-selection.Rmd (PDF)		 newcarfix.R
14: Apr 19, 21 GLMs & Logstic Regression
GLMa.Rmd
GLMa-slides.Rmd (PDF)		 GLM & Logsitic Regression
GLMb.Rmd, GLMc.Rmd, GLMd.Rmd		 See also:
15: Apr 26, 28 Multilevel & Mixed Effects Models Mixed Effects Models,
Likelihood revisited
*** Exam 2: exam2.zip ***
Please Read: hints-updates.txt
Due Tuesday, 3 May, before class.
See also: Data Analysis Using Regression and Multilevel/Hierarchical Models by Gelman and Hill
16: May 3 Tuesday: Last Class!
Week-last-day.pdf
Exam 2 DUE at start of lecture.
Topic: TBD		 No Class (1st day of Finals)
Final Project Due Friday, 6 May		 No Meeting on 10 May.
Final Schedule: 5-7pm, Tuesday, May 10.
(PDF of Spring 2016 Final Week Schedule).