Research and
Professional Activities in Statistics
The graduate programs
in statistics strike a balance between statistical theory and methods.
Graduates are prepared for employment as consultants, researchers and
teachers. Areas of emphasis include mathematical statistics,
probability, applied probability, linear models, multivariate analysis,
time series, spatial analysis, sampling, experimental design,
biostatistics, response surface methodology, and statistical modeling.
Our statistics programs provide experience in practical problem solving
and computational statistics; this experience is gained, in part,
through a consulting seminar program in which all graduate students
participate. Programs are individually tailored and may emphasize
applications to other disciplines such as biology, medicine,
engineering, and the social sciences. Recent research topics include:
- methods
for assessing the efficacy of antimicrobial agents
- efficient
computations in correspondence analysis
- construction
and evaluation of invariant tests of additivity
- analysis
of DNA sequence data
- sampling
methods for the regional assessment of biodiversity
- sampling
designs for rare, clustered populations
- asymptotically
distribution free methods for analyzing correlation
structures
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