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*Statistics *

1440 Mason Hall

763-3519

C. F. Jeff Wu, Chair

*May be elected as a departmental concentration program *

**Professors**

Sandor Csórgö, *Large sample theory, Probability and stochastic
processes*

Bruce Hill, *Bayesian inference, foundations, linear models*

Phil Howrey (Economics), *Econometrics, time series*

Robert W. Keener, *Sequential analysis*

Roderick J. Little (Biostatistics), *Missing data, survey sampling,
applications of statistics*

Robb Muirhead, *Asymptotic theory, classical inference, multivariate
analysis*

Vijayan Nair, *Industrial experiments, quality improvement, reliability,
engineering statistics*

Ed Rothman, *Applications, genetics*

Michael Woodroofe, *Classical inference, probability theory, sequential
analysis*

Chien-Fu Jeff Wu, *Experimental design, industrial statistics,
computer-intensive methods, survey sampling*

**Associate Professors**

Richard W. Andrews (Business Administration), *Bayesian data analysis,
statistical quality control*

Julian J. Faraway, *Adaptive estimation and smoothing, data analysis and
statistical computing*

P. Jeganathan, *Probability and stochastic processes, large sample theory*

**Assistant Professors**

Janis P. Hardwick, *Data analysis and statistical computing, sequential
analysis*

S. G. Steven Kou, *Categorical data analysis, statistics in finance, applied
probability*

Jiayang Sun, *Projection pursuit, and sequential analysis*

Yingnian Wu,* Modeling, statistical computing, computational vision*

**Lecturer **

Brenda Gunderson, *Applied multivariate analysis, applied statistics,
statistical education*

**Adjunct Associate Professors**

Martha B. Aliaga, *Sequential analysis, statistical education, data
analysis*

**Prerequisites to Concentration.** Mathematics
215 and 217; Computer Science 183

**Concentration Program.** Upon completion of the above prerequisite courses,
the concentration program consists of at least 30 credits, additionally,
in statistics, mathematics and electrical engineering and computer science
courses. These 30 credits must include the following:

1. Statistics 425 and 426.

2. Statistics 402 and 413.

3. At least one of: Statistics 414, 470, or 480.

4. At least one 400+ level Mathematics course.

5. At least one course in Electrical Engineering and Computer Science. This
course will be CS 283 or Statistics 406 or an advisor approved EECS course.

6. Elective courses in Statistics, Mathematics, or EECS. These are advisor
approved electives. The list of approved courses include Statistics 406,
466, 470, 480, any 500+ level Statistics courses, and 300+ level advisor-approved
EECS course and the Mathematics course in #4 above. (Math 216 does not qualify).
Students interested in the application of statistics to various disciplines
such as economics, biological sciences, and psychology are also encouraged
to take courses in these areas.

**Honors Concentration. **Any student who has maintained an overall grade
point average of at least 3.2 through the sophomore year may apply for admission
to the Honors concentration program. Such application is made through the
Department's concentration advisor. Students in the Honors program must complete
the regular concentration program above with at least a 3.5 GPA and must
elect at least three of the following courses: Statistics 500, 501, 510,
511, and Mathematics 451 and 513. In addition, Honors concentrators must
elect the Senior Honors Seminar or complete some project under the direction
of a member of the faculty. This additional requirement should be arranged
and discussed with the concentration advisor.

**Advising. **Normally, most statistics courses are elected after an
introductory mathematics sequence has been completed or after consulting
a department staff member. Advising appointments are made at 1440 Mason Hall.

###
*Courses in Statistics (Division 489)*

**100. Introduction to Statistical Reasoning. ***No credit granted to
those who have completed or are enrolled in Soc. 210, Poli. Sci. 280, Stat.
402, 311, 405, or 412, or Econ. 404. (4). (NS). (BS). (QR/1). *

**125. Games, Gambling and Coincidences. ***(3). (Excl). (QR/1).
*

**170. The Art of Scientific Investigation. ***(4). (NS). (BS).
(QR/1). *

**190(290). The History of Chance. ***(3). (NS). (BS). *

**311/IOE 365. Engineering Statistics. ***Engin. 103, Math. 215,
and IOE 315 or Stat 310. No credit granted to those who have completed or
are enrolled in Stat. 405 or 412. One credit granted to those who have completed
Stat. 402. (4). (Excl). (BS). *

**402. Introduction to Statistics and Data Analysis. ***No credit
granted to those who have completed or are enrolled in Econ. 404 or Stat.
311, 405, or 412. (4). (NS). (BS). (QR/1). *

**403. Introduction to Statistics and Data Analysis II. ***Stat.
402. (4). (Excl). (BS). *

**405/Econ. 405. Introduction to Statistics. ***Math. 115 or permission
of instructor. Juniors and seniors may elect concurrently with Econ. 101
and 102. No credit granted to those who have completed or are enrolled in
Stat. 311 or 412. Students with credit for Econ. 404 can only elect Stat.
405 for 2 credits and must have permission of instructor. (4). (Excl). (BS).
(QR/1). *

**406. Introduction to Statistical Computing. ***Stat. 425 and 402.
(4). (Excl). (BS). *

**407. Data Analysis - A Computer Approach. ***Stat. 402. No credit
granted to statistics undergraduate concentrators. (2). (Excl). *

**412. Introduction to Probability and Statistics. ***Prior or
concurrent enrollment in Math. 215 and CS 183. No credit granted to those
who have completed or are enrolled in 311 or 405. One credit granted to those
who have completed Stat. 402. (3). (Excl). (BS). *

**413. The General Linear Model and Its Applications. ***Stat. 402
and Math. 217; concurrent enrollment in Stat. 425. Students who have not
taken Math. 217 should elect Stat. 403. Two credits granted to those who
have completed Stat. 403. (4). (Excl). (BS). *

**414. Topics in Applied Statistics. ***Stat 413 or 403; prior or
concurrent enrollment in 426; and permission of instructor. (4). (Excl).
(BS). *

**425/Math. 425. Introduction to Probability. ***Math. 215. (3).
(N.Excl). (BS). *

**426. Introduction to Mathematical Statistics. ***Stat. 425. (3).
(NS). (BS). *

**466/IOE 466/Manufacturing 466. Statistical Quality Control.
***Statistics 311 or IOE 365. (3). (Excl). (BS). *

**470. Experimental Design. ***Stat. 402. (4). (Excl). (BS). *

**480. Survey Sampling Techniques. ***Stat. 402. (4). (Excl). (BS).
*

**499. Honors Seminar. ***Permission of departmental Honors advisor.
(2-3). (Excl). (INDEPENDENT). *

**500. Applied Statistics I. ***Math. 417, and Stat. 402 or 426;
or permission of instructor. (3). (Excl). (BS). *

**501. Applied Statistics II. ***Stat. 500 or permission of instructor.
(3). (Excl). (BS). *

**502. Analysis of Categorical Data. ***Stat. 426. (3). (Excl).
(BS). *

**503. Applied Multivariate Analysis. ***Stat. 500 or permission
of instructor. (3). (Excl). (BS). *

**504. Seminar on Statistical Consulting. ***Stat. 403 or 500. (1-4).
(Excl). (BS). May be repeated for a total of 8 credits. *

**505/Econ. 673. Econometric Analysis. ***Permission of instructor.
(3). (Excl). (BS). *

**506. Statistical Computing. ***Stat. 426 or 500, and CS 380 or
283, or permission of instructor. (3). (Excl). (BS). *

**510. Mathematical Statistics I. ***Math. 450 or 451, and a course
in probability or statistics; or permission of instructor. (3). (Excl). (BS).
*

**511. Mathematical Statistics II. ***Stat. 510. (3). (Excl). (BS).
*

**525/Math. 525. Probability Theory. ***Math. 450 or 451; or permission
of instructor. Students with credit for Math. 425/Stat. 425 can elect Math.
525/Stat. 525 for only 1 credit. (3). (Excl). (BS). *

**526/Math. 526. Discrete State Stochastic Processes. ***Math. 525,
or Stat. 525, or EECS 501. (3). (Excl). (BS). *

**531/Econ. 677. Analysis of Time Series. ***Stat. 426. (3). (Excl).
(BS). *

**550/SMS 576 (Business Administration)/IOE 560. Bayesian Decision Analysis.
***Stat. 425 or permission of instructor. (3). (Excl). (BS). *

**560/Biostat. 685 (Public Health). Introduction to Nonparametric
Statistics. ***Stat. 426 or permission of instructor. (3). (Excl). (BS).
*

**570. Experimental Design. ***Stat. 426 and a basic knowledge of
matrix algebra; or permission of instructor. (3). (Excl). (BS). *

**575/Econ. 775. Econometric Theory I. ***Math. 417 and 425 or Econ.
653, 654, 673, and 674. (3). (Excl). (BS). *

**576/Econ. 776. Econometric Theory II. ***Econ. 775 or equivalent.
(3). (Excl). (BS). *