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3379 Rood Hall

Joshua Naranjo
5507 Everett Tower
Department of Statistics

phone: (269) 387-4548


Statistics Department

Statistics Faculty

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The Graduate College
(Graduate students from other departments should  use this link to seek statistical support on theses and/or dissertations.)

The Statistical Consulting Center (SCC) is maintained by the Department of Statistics at Western Michigan University.

The SCC was established to help faculty and staff who need statistical help in journal submissions and grant preparation. Appointments may be made by email (joshua.naranjo@wmich.edu) or phone (269)387-4548. 

The SCC is open to helping graduate students as well, although this requires permission from The Graduate College. In addition, the SCC works with local entities such as the Kalamazoo Center for Medical Studies and Innovative Analytics.  Much of the work is done by graduate students from the Department of Statistics under the supervision of the SCC director or a department faculty member.

The SCC offers free consulting on Friday afternoons from 1 to 3 p.m. during the fall and spring semesters (i.e. "Free Friday"). Appointments are required.

For statistical help beyond the scope of Free Friday, modest fees are charged to offset the costs of staff time, hardware, software, etc. These fees depend on type and scope of project, statistical complexity, and who will be doing most of the work (faculty or graduate students). When appropriate, consultant fees may be included as items on proposed budgets. Fees for journal or grant submissions are generally waived when the consultant is co-author or co-PI.

The SCC works closely with the Department of Statistics. A description of an incoming project is often e-mailed to the faculty who in turn may offer their consulting services or help in the preparation of a grant proposal. Faculty may also offer short courses through the SCC. The following are our areas of expertise:
Analysis of Variance Multiple Comparison Procedures
Basic Statistical Methods Monte Carlo Procedures
Bootstrap Multivariate Methods
Categorical Analysis Nonlinear Models
Classification Nonparametric Procedures
Descriptive Procedures Principal Components
Design of Experiments Propensity Analysis
Development of Statistical Software Resampling Techniques
Discriminant Analysis Response Surface Methods
Environmental Statistics Robust Statistical Procedures
Factor Analysis Statistical Computing
Industrial Design of Experiments Statistical Graphic Procedures
Linear Regression Structural Equation Modeling
Logistic Regression Survival Analysis
Meta Analysis Taguchi Methods

Time Series

Last modified: 01/19/2010 12:44:23