Statistics Seminar

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TITLE: Templates for Design Key Construction

SPEAKER: Ching-Shui Cheng


Some useful templates for implementing design key construction of factorial designs with simple block structures, in particular those for the construction of unblocked and blocked split-plot and strip-plot factorial designs will be presented. The traditional method of constructing such designs is to use some independent treatment factorial effects to partition the treatment combinations into blocks, rows, columns, etc. One advantage of the design key construction is that a set of independent generators and the constraints imposed by the structures of the experimental units are built in the template, which facilitates a systematic and simple construction of the design layout and eliminates the need to check some conditions for design eligibility when the traditional method is used.

Dr. Ching-Shui Cheng is a Professor in the department of Statistics at the University of California-Berkeley. He was the Distinguished Research Fellow and Director of Academia Sinica, Taiwan from 2003-2005. He was the chair Editor of Statistica Sinica and served as associate editors for many journals including Biometrika, Annals of Statistics, Technometrics, and the Journal of Statistical Planning and Inference. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics.
More info can be found at http://www.stat.berkeley.edu/~cheng/


  • Workflow Status:Published
  • Created By:Anita Race
  • Created:03/20/2013
  • Modified By:Fletcher Moore
  • Modified:10/07/2016


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