Post-Fisherian Experimentation: From Physical to Virtual
Abstract
Fisher's pioneering work in design of experiments has inspired further work with broader applications, especially in industrial experimentation. Three topics in physical experiments are discussed: principles of effect hierarchy, sparsity, and heredity for factorial designs, a new method called CME for de-aliasing aliased effects, and robust parameter design. The recent emergence of virtual experiments on a computer is reviewed. Here, some major challenges in computer experiments, which must go beyond Fisherian principles, are outlined.
- Authors:
-
- Georgia Inst. of Technology, Atlanta, GA (United States)
- Publication Date:
- Research Org.:
- Georgia Institute of Technology, Atlanta, GA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1405140
- Report Number(s):
- DOE-GT-0010548-1
Journal ID: ISSN 0162-1459; FG02-13ER26159; TRN: US1703122
- Grant/Contract Number:
- SC0010548
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the American Statistical Association
- Additional Journal Information:
- Journal Volume: 110; Journal Issue: 510; Journal ID: ISSN 0162-1459
- Publisher:
- Taylor & Francis
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; computer experiments; aliased effects; conditional main effects; effect heredity; efect hierarchy; effect sparsity; Kriging; robust parameter design; uncertainty quantification
Citation Formats
Jeff Wu, C. F. Post-Fisherian Experimentation: From Physical to Virtual. United States: N. p., 2014.
Web. doi:10.1080/01621459.2014.914441.
Jeff Wu, C. F. Post-Fisherian Experimentation: From Physical to Virtual. United States. https://doi.org/10.1080/01621459.2014.914441
Jeff Wu, C. F. Thu .
"Post-Fisherian Experimentation: From Physical to Virtual". United States. https://doi.org/10.1080/01621459.2014.914441. https://www.osti.gov/servlets/purl/1405140.
@article{osti_1405140,
title = {Post-Fisherian Experimentation: From Physical to Virtual},
author = {Jeff Wu, C. F.},
abstractNote = {Fisher's pioneering work in design of experiments has inspired further work with broader applications, especially in industrial experimentation. Three topics in physical experiments are discussed: principles of effect hierarchy, sparsity, and heredity for factorial designs, a new method called CME for de-aliasing aliased effects, and robust parameter design. The recent emergence of virtual experiments on a computer is reviewed. Here, some major challenges in computer experiments, which must go beyond Fisherian principles, are outlined.},
doi = {10.1080/01621459.2014.914441},
journal = {Journal of the American Statistical Association},
number = 510,
volume = 110,
place = {United States},
year = {Thu Apr 24 00:00:00 EDT 2014},
month = {Thu Apr 24 00:00:00 EDT 2014}
}
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Works referencing / citing this record:
Space-filling designs for computer experiments: A review
journal, January 2016
- Joseph, V. Roshan
- Quality Engineering, Vol. 28, Issue 1
CME Analysis: A New Method for Unraveling Aliased Effects in Two-Level Fractional Factorial Experiments
journal, January 2017
- Su, Heng; Wu, C. F. Jeff
- Journal of Quality Technology, Vol. 49, Issue 1
cmenet : A New Method for Bi-Level Variable Selection of Conditional Main Effects
journal, July 2018
- Mak, Simon; Wu, C. F. Jeff
- Journal of the American Statistical Association, Vol. 114, Issue 526
Optimal Experimental Design in the Presence of Nested Factors
journal, April 2019
- Goos, Peter; Jones, Bradley
- Technometrics, Vol. 61, Issue 4
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization
journal, June 2019
- Mak, Simon; Jeff Wu, C. F.
- Technometrics, Vol. 61, Issue 4
An Evaluation of Estimation Capacity Under the Conditional Main Effect Parameterization
journal, October 2019
- Sabbaghi, Arman
- Journal of Statistical Theory and Practice, Vol. 13, Issue 4