Abstract
The principal objective of mixture experiments is to assess the influences of the proportions and amounts of mixture ingredients, along with the effects of relevant processing variables, on performance characteristics of a mixture. Experimental designs, called “mixture designs”, have been proposed to guide such investigations. This paper explores the effectiveness of some commonly used designs, including D-optimal designs, in providing predictions with relatively uniform variance from alternative model forms.
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© 1998 Springer Science+Business Media New York
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Bacon, D.W., Lott, R. (1998). Robustness of D-optimal Experimental Designs for Mixture Studies. In: Abraham, B. (eds) Quality Improvement Through Statistical Methods. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1776-3_19
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DOI: https://doi.org/10.1007/978-1-4612-1776-3_19
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7277-9
Online ISBN: 978-1-4612-1776-3
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