Statistics and Probability
Graduate study in statistics and probability has taken on a new look and
increased importance in the last two decades due to dramatically increased
computational power and the aggressive and highly successful application
of statistical methods by our competitors in the world market-place. In particular,
the Japanese have extensively employed design of experiments,
data analysis, and statistical process control to improve the quality
of their processes and the quality of their manufactured products.
Recently a number of major U.S. corporations began emulating the Japanese
approach by getting management to support the introduction of "statistical thinking"
throughout the company, and requiring that the people running their processes have
sufficient formal training in statistics to properly implement and monitor statistical
process control programs.
Faculty
- C. Gallagher »
limit theorems, time series, modeling heavy-tailed data
- K.B. Kulasekera »
nonparametric regression, multivariate methods, survival analysis, reliability
- R. Lund »
time series, applied probability, statistics in climatology
- C. Park »
statistical computing, simulation, robust inference
- C.B. Russell »
applied probability
- H.F. Senter »
data analysis, regression applications, design of experiments
- R.L. Taylor »
laws of large numbers, density estimation, bootstrap estimation, statistical education
- F. Vera »
reliability, mixture models, stochastic models
- C. W. Williams »
biostatistics, computational statistics, categorical data
Curriculum
Whether one is interested in applying statistical methods to problems in government or industry, or
would like to engage in
teaching and research at a university, a program can be tailored to meet these objectives within the
constructs of the
graduate program at Clemson. In addition to comprehensive training in statistical theory and
methodology, students are
exposed to areas such as combinatorics, mathematical programming, and scientific computing. While these
areas are not
part of a traditional statistics program, knowledge of them is becoming essential to the application
and development of
statistical methods. Thus, the Mathematical Sciences Department at Clemson is an ideal place to pursue
the study of
statistics.
Students who choose to pursue the PhD degree may do research within the Department of Mathematical
Sciences or they
may enroll in the Management Science PhD program which is jointly administered by Mathematical Sciences
and the
Department of Management. That program stresses the use of analytic models and quantitative methods for
decision
making.
Courses
Sample Curricula
- Sample M.S. Program for Well-Prepared Students
FALL: 800, 804, 853
SPRING: 805, 860, 881
SUMMER: 821
FALL: 801, 807/809, 810
SPRING: 802, 803, 806/808/981, 892
- Sample M.S. Program for Students Lacking Advanced Calculus*
FALL: 800, 804, 653
SPRING: 853, 805, 881
SUMMER: 860
FALL: 801, 807/809, 810
SPRING: 802, 806/808/981, 821, 892
*If lacking any other prerequisite course, substitute this for 653 in the Fall.
Recent M.S. Graduates (master's project title)
- Yang An ("Assessment of Plus/Minus Grades")
- Mark D'Arcy ("The Modified Supplier's Production Problem")
- Amy Bardeen, Leann Karl ("Assisted Reproductive Technology: A Statistical Analysis")
- Jamie Burnham ("The Effect of Alcohol Use and Stress on Pregnancy Outcomes of Women Undergoing In Vitro Fertilization")
- Cynthia Davis ("Differences in Intrauterine Growth Retardation in Cocaine Exposed Newborns")
- Tim Davis ("Automating External Radiation Beam-On Time Using Statistical Techniques")
- Steven Dooley ("Automated Political Redistricting for South Carolina: An Analysis and Proposal")
- Fleming Gibson ("Effects of the Clemson University Academic Redemption Policy During the
2003-2004 Academic Year")
- Erin Hammond ("Statistical Analysis of Penaeid Shrimp Toxicity Values")
- Rebecca Harvey ("An Analysis and Comparison of Past and Present Perceptions of the Clemson University
Athletic Department")
- David Hitchcock ("Properties and Applications of a New Discrete Probability Distribution for Survival Data")
- WeiJia Ji ("Analysis of South Carolina School District Property Tax Rates and Revenues")
- Mauna Ree Hopkins ("Relationships Among Perceived Imbalance, Disequilibrium Scores, and Rates of Falling")
- Lisa Kaltenbach ("Do Low-Quality Embryos Alter Pregnancy Rate in an Assisted Reproductive Technology Program?")
- Rachel Keller ("Pennsylvania Public Schools: Who is Making the Grade?")
- Wei Lin ("Analysis of Single-Index Models")
- Yihai Liu ("Learning Analyst Application in SAS System")
- Thomas McCoy ("Searching for Active Factors of Clinical Pregnancy in an Assisted Reproductive Technology Program:
A Statistical Analysis")
- Adam Lynn ("Athletic Council Survey on Perceptions of the Clemson University Athletic Department")
- Teneal Messer ("Variable Selection in Linear Regression: Bayesian Alternatives to the p-Value Approach")
- Toshinori Okuyama ("A Bayesian Analysis of Mallard Migration")
- Abdul-Baasit Shaibu ("Some Applications of the Bootstrap Method")
- Tracy Thompson ("Comparison of the Effects of SSRI's and Tricyclics on Children's Behavior")
- Wei Zhang ("A Slicing Method for Variable Selection in Nonparametric Regression")
Recent Ph.D. Graduates (dissertation title)
- Abraham Chen ("Estimation and Hypothesis Testing for a Mixture of Two Univariate Normal Distributions")
- Ann-Janette Locke ("The Use of Imprecise Priors in Bayesian Hierarchical Modeling")
- Javier Olaya ("A Method for Selecting Variables in Nonparametric Regression")
- Jian Wang ("Some Issues in Nonparametric Regression Inference")
Current Ph.D. Students (dissertation advisor)
Additional Statistics Links
Last Updated: July 7, 2005
Send comments to:
shierd@clemson.edu