A useful empirical Bayesian method to analyse industrial data from saturated factorial designs
The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we w...
Main Authors: | Sergio Minoru Oikawa, Fernando Antonio Moala, Jorge Alberto Achcar, Marta Yukie Baba, Claudio Luis Piratelli |
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Format: | Article |
Language: | English |
Published: |
Growing Science
2013-06-01
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Series: | International Journal of Industrial Engineering Computations |
Subjects: | |
Online Access: | http://www.growingscience.com/ijiec/Vol4/IJIEC_2013_17.pdf |
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