THE RESPONSE SURFACE METHODOLOGY REVISITED – COMPARISON OF ANALYTICAL AND NON-PARAMETRIC APPROACHES
Journal Title: Production Engineering Archives - Year 2018, Vol 20, Issue
Abstract
Since G.E.P. Box introduced central composite designs in early fifties of 20th century, the classic design of experiments (DoE) utilizes response surface models (RSM), however usually limited to the simple form of low-degree polynomials. In the case of small size datasets, the conformity with the normal distribution has very weak reliability and it leads to very uncertain assessment of a parameter statistical significance. The bootstrap approach appears to be better solution than – theoretically proved but only asymptotically equal – t distribution based evaluation. The authors presents the comparison of the RSM model evaluated by a classic method and bootstrap approach.
Authors and Affiliations
Przemysław Osocha, Jordan Podgórski
Keywords
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- EP ID EP489014
- DOI 10.30657/pea.2018.20.10
- Views 74
- Downloads 0
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