Dale L. Zimmerman


Professor of Statistics and Director of Graduate Studies 
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


Research Interests:


22S:161 Applied Multivariate Analysis

Homework #1 (due Friday, January 29): 1.1 (obtain answers by hand using a calculator), 1.6-1.12, 1.15-1.19; data for 1.6 and 1.15-1.19 are saved as files T1-5.dat, T1-7.DAT, T1-8.DAT, and T1-9.dat in the directory linked below. For those problems that ask for marginal dot diagrams, obtain histograms instead. And, do not obtain any boxplots for Problem 1.19.
Homework #2 (due Friday, February 5): 2.1, 2.5-2.10, 2.15, 2.18, 2.25, 2.26, 2.30
Homework #3 (due Wednesday, February 10): 3.7, 3.8, 3.9ab, 3.10, 3.15, 3.18
Homework #4 (due Friday, February 19): 4.2, 4.4, 4.6, 4.7, 4.16, 4.19, 4.21, 4.26, 4.30, 4.36. For 4.36, you may consider assessments of univariate and bivariate normality only (you don't need to construct a chi-square plot).
Homework #5 (due Friday, February 26): 5.1, 5.2, 5.4, 5.11, 5.12, 5.20. For 5.20, the data are saved as file t5-12.dat in the directory linked below. Also do the following supplemental problem: For the sweat data (saved as file t5-1.dat), delete the sweat rate values of individuals 1 and 2, delete the sodium values of individuals 3 and 4, and delete the potassium values of individuals 5 and 6. Then use the R function imp.norm to impute the missing values, and perform Hotelling's T-squared test of the same hypothesis in Example 5.2 but based on the imputed data set. Does the conclusion change?
Homework #6 (due Friday, March 11): 6.4, 6.5, 6.6, 6.8 (do "by hand"), 6.13 (you may use proc glm or the R equivalent), 6.24 (egyptskulls.dt), 6.32, 6.33 (spectral.dt)
Homework #7 (due Monday, March 28): 6.27 (spouse.dt), 7.9, 7.10, 7.21 (T1-5.dat), 7.25 (T7-6.dat)
Homework #8 (due Monday, April 4): 8.1, 8.2, 8.6, 8.7, 8.18 (T1-9.dat), 8.20 (T8-6.dat)
Homework #9 (due Friday, April 8): 11.1, 11.4, 11.7, 11.10
Homework #10 (due Monday, April 18): 11.27 (T11-5.dat), 11.28

22S:170 ALPHA Seminar
22S:167 Spatial and Environmental Statistics
22S:255 Linear Models
22S:161 Applied Multivariate Analysis
22S:295 Sports Statistics
R functions for antedependence models (under construction)
Data for antedependence models

 
 
 
 
 
 
 
 
 
 
 

Dept. of Statistics and Actuarial Science