Abstract
Response surface methodology is a strategy for investigating, characterizing, or optimizing processes using empirical models. Often several experiments are performed sequentially. Estimation of a multifactor second-order polynomial model is one of the primary tools. This chapter provides a survey of the secondorder model and its analysis, as well as the popular experimental designs used for estimation. The designs presented here are constructed by augmenting or adapting two-level factorial designs.
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© 2009 Springer-Verlag New York
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Mee, R.W. (2009). Response Surface Methods and Second-Order Designs. In: A Comprehensive Guide to Factorial Two-Level Experimentation. Springer, New York, NY. https://doi.org/10.1007/b105081_12
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DOI: https://doi.org/10.1007/b105081_12
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-89102-6
Online ISBN: 978-0-387-89103-3
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