Higher Order Approximations

Scott A. Pardo
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Scott A. Pardo: Ascensia Diabetes Care

Chapter Chapter 7 in Empirical Modeling and Data Analysis for Engineers and Applied Scientists, 2016, pp 95-112 from Springer

Abstract: Abstract Two-level factorial or fractional factorial experimental designs are used for obtaining a first-order approximation to the response function. They are particularly useful for selecting a smaller subset of potential input factors with which to formulate a better approximation equation. In this chapter, we will discuss some classes of experimental designs useful for fitting second-order (Quadratic) approximating equations.

Keywords: Called Central Composite Design (CCDs); factorsFactors; experimentExperiment; modelModel; parameterParameter (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-32768-6_7

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DOI: 10.1007/978-3-319-32768-6_7

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