| | Course Information | | Take-home Midterm Exam | | Lecture Notes | | Homework | | Office Hours | | Exam Solutions | | Final Exam Information | | R | | Grades | |
|
Bret Larget
is the professor for Statistics 572 in the Spring 2007 semester.
|
| Exam | Data |
|---|---|
| exam2.pdf | river.txt |
| Lecture # | Date | Topic | PDF Notes (slides per page) |
|---|---|---|---|
| 1 | January 23 | Overview | [1] [2] [4] |
| 2 | January 25 | Simple linear regression (SLR) Correlation | [1] [2] [4] |
| 3 | January 30 | Standard errors Estimation with confidence | [1] [2] [4] |
| 4 | February 1 | Outliers and influence | [2] [4] |
| 5 | February 6 | SLR Model assessment Transformations Weighted least squares | [2] [4] |
| 6 | February 8 | Multiple linear regression (MLR) | [2] [4] |
| 7 | February 13 | Multiple linear regression Tests | [2] [4] |
| 8 | February 15 | Multiple linear regression case study | sat.R sat.txt sat.csv |
| 9 | February 20 | Variable selection Multicollinearity | [2] [4] |
| 10 | February 22 | Factors and Model Matrices | [2] [4] |
| 11 | February 27 | Analysis of covariance | [2] [4] |
| 12 | March 1 | Catch-up | |
| EXAM | March 6 | In-class Exam | |
| 13 | March 8 | Random effects | [2] [4] |
| 14 | March 13 | Exam discussion. | |
| 15 | March 15 | Random Effects in R | [2] [4] |
| 16 | March 20 | Mixed models | [2] [4] |
| 17 | March 22 | Randomized Block Designs | [2] [4] |
| 18 | March 27 | Split-plot designs | [2] [4] |
| 19 | March 29 | Latin square designs | [2] [4] |
| 20 | April 10 | Multi-level Models and Model Selection | [2] [4] |
| 21 | April 12 | Parameter Estimation | [2] [4] |
| 22 | April 17 | Repeated Measures in Time | [2] [4] |
| 23 | April 19 | Repeated Measures in Time Take-home exam due | |
| 24 | April 24 | Generalized Linear Models Logistic Regression | [2] [4] |
| 25 | April 26 | Logistic Multiple Regression | [2] [4] |
| 26 | May 1 | Poisson and quasi-Poisson models | [2] [4] |
| 27 | May 3 | Poisson and quasi-Poisson models | [2] [4] |
| 28 | May 8 | Logistic Multiple Regression Example | bear.R |
| 29 | May 10 | Review | |
| EXAM | May 16 | Final Exam |
| Assignments are due by 4:00 P.M. on the date due. With prior permission from your professor, you may turn in homework on the following Monday without penalty a limited number of times. Late homework received before solutions are posted will receive at most half credit. Homework received after solutions are posted will receive no credit. |
| Assignment | Date Given | Date Due | Extras | Solutions |
|---|---|---|---|---|
| Assignment #1 [PDF] | January 23 | February 2 | Stat 571 Final[PDF] (Note: the MStreatment on problem 5 should be 121.66, not 92.17) | sol01.pdf |
| Assignment #2 [PDF] | February 1 | February 9 | fevdata.txt tree.txt | sol02b.pdf |
| Assignment #3 [PDF] | February 12 | February 16 | fevdata.txt maple.txt | sol03.pdf |
| Assignment #4 [PDF] | February 18 | February 23 | calib.txt larch.txt | sol04.pdf |
| Assignment #5 [PDF] | February 24 | March 2 | glue.txt oat.txt | sol05.pdf |
| Assignment #6 [PDF] | March 12 | March 19 | samara.txt larch.txt | sol06.pdf |
| Assignment #7 [PDF] | March 17 | March 23 | corn.txt | sol07.pdf |
| Assignment #8 [PDF] | March 23 | March 30 | needle.txt
leaf.txt bread.txt | sol08.pdf |
| Person | Hours | Location | Phone | |
|---|---|---|---|---|
| Bret Larget: | Tues 3:00-4:30pm Thur 1:00-2:30pm | MSC 1250A | 262-7979 | larget@stat.wisc.edu
|
| Heather Brazeau: | Mon 2:15-3:00pm Tue 2:15-3:00pm Wed 12:15-1:00pm Thu 12:15-1:00pm | MSC 1270 | 262-3230 | brazeau@stat.wisc.edu
|
| Yali Wang: | Wed 9:45-11:45am | MSC 1335 | 262-8182 | yali@stat.wisc.edu
|
|
Your exam for Statistics 572 will be different than previous exams.
You can expect that there will be some similar questions where you are preented with R output
and graphics and are asked to do small calculations,
to make interpretations,
and to answer questions.
The questions I will ask will be on topics covered in my lectures, so some old exam questions are not indicative of what I will ask. In particular, I will not ask you to carry out formal goodness of fit tests or outlier tests. You should know about AIC and BIC, Cook's distance and leverage, an alternative description of simple regression, and so on. |
| Year | Midterm 1 Exam | Midterm 1 Solutions | Midterm 2 Exam | Midterm 2 Solutions |
|---|---|---|---|---|
| 2002 | [PDF] | [PDF] | ||
| 2004 | [PDF] | [PDF] | [PDF] | Problem 1 [PDF] Problem 2 [PDF] |
| 2005 | [PDF] | [PDF] | [PDF] | Problem 1 [PDF] Problem 2 [PDF] |
| 2006 | [PDF] | [PDF] |
| Topic | File |
|---|---|
| Installation | install-R.pdf |
| Basics | basics-R.pdf |
| Data Entry | data-R.pdf |
|
The final exam is scheduled
from 10:05am to 12:05pm on Wednesday, May 16..
|
Bret Larget, larget@stat.wisc.edu