Results 161 to 170 of about 2,424,945 (201)
Designing and Running Super-Efficient Experiments: Optimum Blocking With One Hard-to-Change Factor
Journal of Quality Technology, 2008 Different methods of conducting super-efficient experiments for process improvement when there is one hard-to-change factor are discussed. It is shown how designs can be blocked to get small prediction variance and low cost. A blocked split-plot design..
Frank T. Anbari, James M. Lucas
semanticscholar +3 more sources
Optimal Split-Plot Designs in the Presence of Hard-to-Change Factors
, 2002 In this chapter, we will continue focusing on split-plot designs. However, we no longer assume that the number of whole plots and the size of the whole plots are dictated by the experimental situation. Instead, another type of restriction is imposed on the split-plot design: only one whole plot is connected to each combination of the hard-to-change or ...
Peter Goos
semanticscholar +3 more sources
Minimum Aberration Two-Level Fractional Factorial Split-Plot Designs with Hard to Change Factors
Communications in Statistics - Theory and Methods, 2009 In this article we will consider industrial experiments in which some experimental factors have hard to change levels and others have levels which are easy to change. In such situations, fractional factorial split plot designs are often used where the hard to change factors are included as a subset of the whole plot factors and the easy to change ...
Mike Jacroux
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Combinatorial Testing of Engineered Systems With Hard‐to‐Change Factors
Quality and Reliability Engineering InternationalABSTRACT The testing of engineered systems is a complex task, which often requires a test engineer to construct a suite of test cases in order to investigate system behavior, with the primary purpose of this endeavor being to detect errors in the system.
William Fisher +2 more
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Staggered designs for experiments with more than one hard-to-change factor [PDF]
, 2008 In many industrial experiments, some of the factors are not independently reset for each run. This is due to time and/or cost constraints and to the hard-to-change nature of these factors. Most of the literature restricts the attention to split-plot designs in which all the hard-to-change factors are independently reset at the same points in time. This
ARNOUTS, Heidi, GOOS, Peter
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Adaptive Experimental Design for Aerodynamic Modeling with Hard-to-Change Factors
Journal of Aerospace Information Systems, 2020 Uihwan Choi, Taehyun Sung, Jaemyung Ahn
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Split-Plot Designs to Accommodate Hard-to-Change Factors
, 2017 Mark J. Anderson, Patrick J. Whitcomb
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