A voluntary mentoring group was formed to aid students in effectively conducting their research and analyzing data. A student may make an appointment to discuss experimental design, modeling, or statistical aspects of their thesis or dissertation research with the individuals listed below. When a general request for volunteers went out to the quantitative faculty, these individuals volunteered to aid students in the areas outlined below.

• Mark Brush
  ecosystem modeling (continuous time), ordinary differential equations and numerical integration, spatial and temporal interpolation, GIS, time series analysis, cluster analysis, Monte Carlo simulation, non-linear curve fitting

• Bob Diaz
  nonparametric statistics; categorical analysis (regression, ANOVA); sampling and experimental design; cluster analysis

• Mike Newman
  chemical measurement statistics including QC/QA methods and more advanced methods such as those for censored (<DL) data; general toxicological data analysis; survival time modeling; dose/concentration-effect modeling; bioaccumulation and toxicokinetics modeling; quantitative methods in ecotoxicology

• Jim Kirkley
  fisheries science sampling; social, market, and economic sampling; non parametric testing and regression; semi-parametric regression; univariate and multivariate time series analysis (e.g., exponential smoothing, Box-Jenkins, space-state forecasting, co-integration, error-correction models, etc.); limited dependent variables and regression (e.g., censored, truncated, and count data models); linear and non-linear systems estimation; systems of seemingly unrelated regressions; conventional regression--linear and non-linear; risk-assessment; mathematical optimization (e.g., linear and quadratic programming, optimal control, and dynamic optimization) and numerical analysis; and qualitative choice models--ordered and unordered.

• Rom Lipcius
  experimental design, ANOVA, regression (linear and nonlinear)

• Harry Wang
  numerical calculation aspects of quantitative skills such as interpolation, linear systems of equations, numerical differential and integration of ordinary and partial differential equations.