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 81
  • Downloads 0

How To Cite

Przemysław Osocha, Jordan Podgórski (2018). THE RESPONSE SURFACE METHODOLOGY REVISITED – COMPARISON OF ANALYTICAL AND NON-PARAMETRIC APPROACHES. Production Engineering Archives, 20(), 49-52. https://europub.co.uk/articles/-A-489014