alternative approach to fitting first-order model to the response surface methodology

Clicks: 135
ID: 239626
2013
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Abstract
In this paper, we present the computational procedure of the First-Order Model in Response Surface Methodology (RSM) in a new dimension. Firstly, we fit the First-Order Model to a 2k design by applying Yates’ technique to calculate the sum of squares of main effects and their interactions. Secondly, we prove that SS regression and SS linear are equivalent. Thirdly, we give a new idea for computing SS quadratic under the concept of unbalanced Completely Randomized Design. The formula used in this technique is numerically and mathematically equivalent to the existing technique. Lastly, we split the total variation in the responses into all possible sources with the help of a diagram.
Reference Key
ismail2013pakistanalternative Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Muhammad Ismail;Nazia Kanwal
Journal reactive and functional polymers
Year 2013
DOI
DOI not found
URL
http://www.jespk.net/publications/111.pdf
Keywords
ss linearcommerce

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