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
Updated: 08/03/2011 |
