University of Maryland - Statistics Consortium

Frank B. Alt
Statistical quality control, applied multivariate analysis, and forecasting with a particular interest and expertise in multivariate process control

Bilal M. Ayyub
Risk assessment and analysis, uncertainty modeling and analysis, aging, durability and life assessment of structures, applications of probabilistic methods in engineering, reliability-based design, modeling, and analysis.

Gregory Baecher
Reliability and Statistics in Geotechnical Engineering, Risk and Uncertainty in Dam Safety, water resource.

John C. Chao
IV regressions with weak instruments, Bayesian econometrics and the use of model selection methods in nonstationary time series analysis.

Chan Dayton
Latent class analysis (which is a specialized field within the realm of discrete mixture models), model comparison procedures with a special interest in approaches based on information theory and Bayes factors. In particular, he has been working on an innovative alternative to pairwise comparison procedures such as Tukey test.

Daniel "Chip" Denman
Biostatistics and Epidemiology. Provides general statistical support through the OIT Statistics Laboratory.

Larry W. Douglass
Provide statistical consulting advice to faculty and graduate students in 15 departments or programs, to BARC scientists through the joint Statistical Consulting and Analysis Laboratory; supervise data analysis on 40 to 50 projects per year.

Greg Hancock
Multiple comparison procedures (MCPs): Sequential Bonferroni MCPs and finite intersection methodology. Structural equation modeling (SEM): latent variable experimental design and analysis. For example, projects dealing with latent growth models, as well as the use of MIMIC models and structured means modeling to facilitate inference regarding latent construct means.

Paul Hanges
Personnel selection, managerial/leadership performance, information processing, and research methodology (particularly nonlinear modeling and catastrophe mathematical modeling and neural network analysis for detecting nonlinear behavior in psychological phenomena).

Amy Hendrickson
Test equating and scaling, polytomous item response theory, and computerized adaptive testing and my dissertation concerned scaling of two-stage adaptive test configurations for achievement testing.

Wolfgang Jank
Application areas like electronic markets, online auctions and marketing, and methodological areas like stochastic optimization and simulation, spatial and temporal data analysis, and functional data analysis.

Abram Kagan
Characterization Problems, Estimation Theory, Semi-Parametric Models.

Mark Kaminskiy
Repairable System Reliability Analysis Using Multivariate Regression Models for Nonhomogeneous Poisson Process, Classical and Bayesian Approaches • Reliability Analysis and Assessment of Hydropower Equipment • Transformers Design Optimization Using DoE and Accelerated Life Data Analysis • Development Statistical Test Design for in Vivo Use of the Jarvik 2000 IVAS Pump (Artificial Heart) Acceptable to the Government Approval • Developing a New Dose-Response Model for Microbiological Risk Assessment (Project performed for David Vose Risk Analysis Services (U.K.)) • Plant Specific Classical and Bayesian PSA for Rovno-1 Ukrainian Nuclear Power Plant • Accident Sequence Precursor Analysis based on Extreme Value Theory Approach (for Nuclear Power Plant Applications)

Benjamin Kedem
Spectral Analysis and Discrimination by Zero Crossings, Tropical Rainfall Measuring Mission (TRMM). Time series, statistics of space-time observations, spatial prediction, zero-crossings.

Harry H. Kelejian
Dynamic Econometric Models, Two Stage Least Squares and Econometric Models Linear in the Parameters but Nonlinear in the Endogenous Variables, Simultaneous Equation Framework, Generalized Moments Estimator for the Auto-Regressive Parameter in a Spatial Model

Frauke Kreuter
Sampling and measurement errors in complex surveys.

Partha Lahiri
Survey Sampling, Multi-level Modeling, Small-Area Estimation, Bayes and Empirical Bayes Inference, Resampling Methods.

David Levermore
Partial Differential Equations, generally related to the question of how large-scale behaviors emerge from dynamics or structures on small-scales.

Bob Lissitz
Test equating, NAEP and the issue of describing points on the performance scale and determining the cut-offs for various passing levels, teacher and school performance, interpreting tests that are administered to students who receive accommodations, filed of Value Added Modeling

Jian-Guo Liu
Analysis and computation of nonlinear partial differential equations arising in fluid dynamics and materials science. Computational fluid dynamics, numerical analysis, scientific computing and applied mathematics in general.

Bob Mislevy
Applying recent developments in statistical methodology and cognitive research to practical problems in educational and psychological measurement, including Multiple Imputation and Bayesian Network methods.

Ingmar R. Prucha
Theoretical and Applied Econometrics

Galit Shmueli
Developing and using statistical and probabilistic methods in marketing, quality control, and bio-surveillance. She collaborates with researchers from computer science, marketing, and industry.

Eric Slud
Survival analysis, model-based survey analysis, semiparametric statistics.

Paul J. Smith
Categorical data analysis, Robust and nonparametric statistical methods, Applications of statistics, particularly in the biomedical sciences.

Roger Tourangeau
Measurement Error In Surveys; Mode Effects; Web Surveys; Sensitive Questions.

Richard Valliant
model-based survey sampling; regression diagnostics; price index estimation.

David Wiley
creation of new statistical methods and on validity studies and program evaluation as related to educational testing, teaching-learning processes, and legislative initiatives affecting these aspects of education.