Department of Statistics and Actuarial Science

217 Schaeffer Hall

The University of Iowa

Iowa City, IA 52242

Phone: (319) 335-0818

Email: dale-zimmerman@uiowa.edu

- Spatial statistics, linear models, experimental design, multivariate
analysis, environmetrics, sports statistics

January 27: Sections 2.1-2.4

January 29: Sections 2.5, 3.1-3.2

February 1: Sections 3.3-3.6

February 5: Sections 3.7-3.11

February 8: Sections 4.1-4.2

February 10: Sections 4.3-4.5

February 12: Sections 5.1-5.2

February 15: Sections 5.3-5.4, 5.4.1-5.4.3

February 17: Sections 5.4.4-5.4.9

February 19: Sections 5.5-5.9, 6.1

February 22: Sections 6.2-6.3

February 24: Section 6.4

February 26: Sections 7.1-7.2

March 1: Sections 7.3-7.5 (but ignore stuff on power curves on pages 154-156)

March 3: Sections 7.6-7.7, 6.5-6.7, plus supplement called "5201-Allocation-Supplement.pdf" in course ICON directory

March 5: Sections 8.1-8.3

March 10: Sections 8.4-8.6

March 12: Sections 8.7-8.9

March 15: Sections 8.10-8.11

March 17: Sections 9.1, 9.2.1-9.2.2

March 19: Sections 9.2.3-9.3

March 22: Sections 10.1-10.2

March 24: Sections 10.3-10.4.1

March 26: Sections 10.4.2-10.5

March 29: Sections 11.1-11.3

March 31: Sections 11.4-11.5

April 2: Sections 11.7-11.8, 12.1-12.2

April 5: Sections 12.3-12.5

April 7: Section 12.6

April 9: Section 12.8

April 16: Sections 13.1-13.2

April 19: Sections 13.3.1-13.3.4 plus supplement called "blocking-demonstration.pdf" in ICON course directory

April 21: Section 13.4-13.5

Homework 2: Exercises 3.3, 3.5 and Problems 3.1, 3.5, due February 8

Homework 3: Exercises 4.2, 4.3 and Problems 4.1, 4.3, due February 15

Homework 4: Exercises 5.2 (use error rates of 0.05), 5.3 (in addition to the procedure that controls the SFER at 0.05, also perform procedures that control the FDR and EER at 0.05), 5.5 (use the two-sided Dunnett procedure), Problem 5.2, and Question 5.1 (use epsilon = 0.01), due February 22

Homework 5: Exercises 6.2, 6.5, 7.1, and 7.2; and Problems 6.1 and 7.2, due March 3

Homework 6: Exercise 8.2 and Problems 8.2, 8.3, 8.4, 8.6 due March 17

Homework 7: Problem 9.3 (analyze on the log scale), Problem 9.5 (do Tukey's 1-df-for-nonadditivity test and test for the significance of polynomial cisplatin dosage contrasts/terms, if warranted, possibly after transforming the dosages to 0,1,2,3,4,5), Question 9.1 (do for the balanced two-factor case, with variances as given in class). For the two problems, construct interaction plots and check for one-cell interaction; due March 22 (10 pm)

Homework 8: Exercises 10.3 and 10.4; Problem 10.1 (analyze on log scale); Problem 10.3 (do Box-Cox and analyze on a proper scale); Problem 10.7; due Monday, March 29

Homework 9: Exercises 11.2(a), 11.4, 11.6, Problem 11.2 (Analyze the data on a transformed scale, where you select the transformation using the Box-Cox method. The residuals from the analysis of the transformed data may not look normal, but ignore that fact for the purposes of this problem.), Exercise 12.4, due Wednesday, April 7

Homework 10: Problems 12.1 (the "standard five questions" are listed at the beginning of Section 12.10), 12.4, 12.6, Exercise 13.2, Problem 13.8, due Monday, April 19

Homework 11: Exercises 13.1, 13.3, 13.4; Problems 13.2, 13.6, 13.14. For Exercises 13.1 and 13.3, do NOT transform the response, for Problem 13.6 take the square root transformation of the response, and for Problem 13.14 transform the response to its fourth power. Due Monday, April 26

2. Exercise 6.4-21: The upper limit of support for x should be plus infinity, not theta.

3. Exercise 7.6-10: Symbols a, b, and c should be beta1-hat, beta2-hat, and beta3-hat, respectively.

4. Exercise 7.6-11: This exercise is correct, but out of place. Part (a) asks for the (sample) correlation coefficient, which is not defined until Section 9.6.

5. Exercise 7.7-6: This exercise is also correct but out of place as it involves calculation of the sample correlation coefficient, which is not defined until Section 9.6.

STAT:7290 Sports Statistics

R functions for antedependence models (under construction)

Data for antedependence models