IE 361, Statistical Quality Control
Stat 402, Statistical Design and Analysis of Experiments
Stat 512, Design of Experiments
Stat 513, Response Surface Analysis
Stat 612, Advanced Design of Experiments
Office: 304A Snedecor
Email: mmorris
iastate.edu
Tel: 515.294.2775
Fax: 515.294.4040
My research program is primarily focused on problems of experimental design. One design problem of interest in recent years is related to response surface methodology, namely, using second-order polynomials to approximate the relationship between variables in a physical system. Another problem is the development of experimental designs to validate matching processes used in forensic science.One application in which we have been involved focuses on algorithms that match toolmarks found at a crime scene with laboratory samples.
An application of special interest to me is the design of computational experiments, i.e the planning of "runs" of a large computer model and subsequent examination of their outputs to answer specific questions concerning the model. Much of this work involves sensitivity and uncertainty analysis, or the question of how the code can best be "validated" against limited physical data.
Morris, M.D., L.M. Moore, and M.D. McKay, Using Orthogonal Arrays in Sensitivity Analysis. Under revision for Technometrics.
Morris, M.D., B.M. Dilts, S.J. Birrell, and P.M. Dixon, Composite Response Surface Designs for Factors with Jointly Symmetric Effects.
Morris, M.D., A Class of Three-Level Experimental Designs for Response Surface Modeling, Technometrics 42, 2000, pp 111-121.
Morris, M.D., An Overview of Group Factor Screening, in Screening, eds. A.M. Dean and S.M. Lewis, New York, Springer-Verlag, 2005, to appear.
Morris, M.D., L.M. Moore, and M.D. McKay, Sampling Plans Based on Balanced Incomplete Block Designs for Evaluating the Importance of Computer Model Inputs, Journal of Statistical Planning and Inference, 2005, to appear.