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Showing 1 to 8 of 8 for “"central composite designs"”.
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Mixed-Factors Central-Composite Designs: A Theoretical and Empirical Comparison
Made available in DSpace on 2014-12-13T18:21:39Z (GMT). No. of bitstreams: 1 7624069.pdf: 6440030 bytes, checksum: 04b573b0e568bb85e333e9dbd649d613 (MD5) Previous issue date: 1976
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Recommendations for Design Parameters for Central Composite Designs with Restricted Randomization
In response surface methodology, the central composite design is the most popular choice for fitting a second order model. The choice of the distance for the axial runs, alpha, in a central composite design is very crucial to the performance of the design. In the literature, there are plenty of …
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Graphical Tools, Incorporating Cost and Optimizing Central Composite Designs for Split-Plot Response Surface Methodology Experiments
… industrial experiments, completely randomized designs (CRDs) are impractical due to restrictions on randomization, or the existence of one or more hard-to-change factors. Under these situations, split-plot experiments are more realistic. The two separate randomizations in split-plot experiments …
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Optimality criteria applied to certain response surface designs
… was applied to several classes of RSM designs to find optimal choices of design parameters. Further, previous results on D-optimal RSM designs were extended. The designs resulting from the use of the two criteria were compared. Two other design criteria were also studied. These were IV, …
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Response Surface Method for Time-Variant Reliability Analysis
… modeled by second order polynomials fitted using central composite designs applied to data from response time histories. The structural failure probability conditional upon the uncertain system parameter values is assumed to follow an extreme value distribution, the parameters of which are fitted …
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Measurement Error in Designed Experiments for Second Order Models
… in the planning and analysis of experimental designs. A familiar model for this type of ME, called the Berkson error model, is discussed at length. Previous research has examined the effect of Berkson error on two-level factorial and fractional factorial designs. This dissertation extends the …
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New design comparison criteria in Taguchi's robust parameter design
… necessary to achieve the goals of RPD. Possible designs for use in RPD are quite numerous. Standard designs such as crossed array designs, Plackett-Burman designs, combined array factorial designs and many second order designs all vie for a place in the experimenters tool kit. New criteria are …
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The use of correlated simulation experiments in response surface optimization
… fitting a first order model, two-level factorial designs are used to evaluate the correlation induction strategies, and in the second order case, four design classes are considered; central composite designs, Box-Behnken designs, three-level factorial designs, and small composite designs. The …