A New Algorithm for Obtaining Mixed-Level Orthogonal and Nearly-Orthgonal Arrays
Orthogonal arrays are frequently used in industrial experiments for quality and productivity improvement. Due to run-size constraints and level combinations, an orthogonal array may not exist, in which case a nearly-orthogonal array can be used. Orthogonal and nearly-orthogonal arrays can be difficult to find. This project will introduce a new algorithm for the construction of orthogonal arrays and nearly-orthogonal arrays with desirable statistical properties, and compare the new algorithm to a pre-existing algorithm.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Ryan Lekivetz (rlekivetsfu.ca) or his supervisor Derek Bingham (firstname.lastname@example.org), Department of Statistics and Actuarial Science.
11 December 2006