MAT755-Spring2013-Syllabus
Instructor: Thomas John, Ph.D.
Carnegie 219A, 443-1587(office), 443-3849(message/math-dept), thjohn at syr dot edu.
Class: Tue & Thu 9:30 AM – 10:50 AM in Carnegie 311.
Office Hours: Tue & Thu 2:00-3:00 PM, and by appointment.
Text: Applied Multivariate Statistical Analysis, by Richard A. Johnson and Dean W. Wichern, 6th edition,
ISBN-13: 978-0-13-187715-3.
Course Description: (per course catalogue: Multivariate normal distribution, conditional densities, partial correlation, multiple correlation, regression coefficients, maximum likelihood estimates, Hotelling’s statistic, Wishart distribution, tests of hypotheses, and linear discriminant functions.)
Analysis of multivariate observations will be covered with equal emphasis on theory and examples. Course will begin with reviews of concepts needed from linear algebra and mathematical statistics. Then the course will proceed through important multivariate sampling distributions and multivariate inference procedures. The latter part of the semester will focus on applications of multivariate methods such as principal component analysis, factor analysis, clustering, and classification.
R statistical software (http://www.r-project.org) will be used for computations.
Author: Thomas
2013 Spring — MAT 525 – Mathematical Statistics
MAT525-Spring2013-Syllabus
Section: M001(34156)
Instructor: Thomas John, Ph.D.
Carnegie 219A, 443-1587(office), 443-3849(message/math-dept), thjohn at syr dot edu
Class: Tue & Thu 12:30 PM – 1:50 PM in Carnegie 313
Office Hours: Tue & Thu 2:00-3:00 PM, and by appointment
Text: Probability and Statistics, 4th Ed, by DeGroot and Schervish, ISBN-13: 9780321500465.
Course Description:
(per course catalogue: Estimation and confidence intervals. Normal distribution and central limit theorem. Testing hypotheses, chi-square, t, and F distributions. Least squares, regression, and correlation.)
Contents in Chapters 5 through 9 of DeGroot and Schervish will be covered (see course schedule for specific sections).
2012 Fall — MAT 525 – Mathematical Statistics
Syllabus — MAT525 2012Fall
Lectures: Tue & Thu, Carnegie 311, 11:00 AM -12:20 PM
Office Hours: Tuesday and Thursday: 9:30-10:30 AM or by appointment.
Office: 219A Carnegie
Phone: 315-443-1587
e-mail: thjohn@syr.edu
Text: Probability and Statistics, 4th Ed, by DeGroot and Schervish,
ISBN-13:9780321500465
2012 Fall — MAT 653 – Statistical Computing
Syllabus — MAT653 2012Fall
Lectures: Tue & Thu, Carnegie 311, 2:00-3:20 PM
Office Hours: Tuesday and Thursday: 9:30-10:30 AM or by appointment.
Office: 219A Carnegie
Phone: 315-443-1587
e-mail: thjohn@syr.edu
Text:
Required Reading: Statistical Computing with R, by Maria L. Rizzo,
ISBN: 9781584885450.
Secondary Reading: Computational Statistics Handbook with MATLAB, 2nd Ed,
by Wendy L. Martinez & Angel R. Martinez,
ISBN: 9781584885665.
2012 Summer Session I
MAT 521, INTRODUCTION TO PROBABILITY AND STATISTICS
SECTION: M001(70473)
Class: MoTuWeTh 4:00-5:45 PM in HBC 323
521Summer2012(John)Syllabus
2012 Spring — MAT 284
Syllabus — MAT284 2012Spring
Lectures: Tue&Thu, Heroy Auditorium, 0800-0920 (Sec 100) & 1230-1350 (Sec 200)
Office Hours: Tuesday and Thursday: 9:45-10:45 AM or by appointment.
Office: 224 Carnegie
Phone: 315-443-1587
e-mail: thjohn@syr.edu
2012 Spring — MAT 222
Syllabus
Lectures: Tuesday and Thursday 11:00-12:20 Carnegie 311
Office Hours: Tuesday and Thursday 9:45-10:45 AM or by appointment.
Office: 224 Carnegie Building
Office Phone: 315-443-1587
email: thjohn@syr.edu
Spring 2012 —Semester
Courses:
MAT 284 – Sec 100 (TTh 0800-0920) – Heroy Aud
MAT 284 – Sec 200 (TTh 1230-1350) – Heroy Aud
MAT 222 – Sec M002 (TTh 1100-1220) – Carnegie 311
Office Hours: TTh 0945-1045 – Carnegie 224
Data.gov
Welcome!!
Happy New Year & Welcome to Spring 2012 semester!!
These pages are only meant to serve as public place holders where I will post course related items for quick access rather than via the blackboard login.