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Foldovers of 2
k-p
resolution IV experimental designs
Douglas Montgomery
,
George Runger
Industrial, Systems and Operations Engineering
L. William Seidman Research Institute
Engineering, Ira A. Fulton Schools of (IAFSE)
Health Information and Research, Center for (CHIR)
Computer Science and Engineering
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Cybersecurity and Digital Forensics, Center for (CDF)
Assured and Scalable Data Engineering, Center for (CASCADE)
Research output
:
Contribution to journal
›
Article
›
peer-review
68
Scopus citations
Overview
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k-p
resolution IV experimental designs'. Together they form a unique fingerprint.
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Business & Economics
Experimental Design
100%
Simple Rules
50%
Factorial Design
49%
Reversal
41%
Factors
27%
Software
26%
Experiment
24%
Engineering & Materials Science
Design of experiments
74%
Experiments
14%