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200 00$aResponse Surface Methodology - Research Advances and Applications /$fedited by Palanikumar Kayaroganam
210  1$aLondon :$cIntechOpen,$d2023.
215   $a1 online resource (186 pages)
311   $a1-83880-288-6 
327   $a1. Introductory Chapter: Response Surface Methodology -- 2. Application of Central Composite Design with Design Expert v13 in Process Optimization -- 3. Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization -- 4. Perspective Chapter: Cyclic Generation of Box-Behnken Designs and New Second-Order Designs -- 5. Analysis and Optimization of Bead Geometry by Using Response Surface Methodology -- 6. Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study -- 7. Optimization of Baker's Yeast Production on Grape Juice Using Response Surface Methodology -- 8. Response Surface Model Applied to Fine Arts: The Case of the Restoration of Paintings.
330   $aResponse surface methodology (RSM) is the statistical and mathematical technique that lays its foundation of quality in any experiment and it aims to optimize the response. RSM is mainly used for modeling and optimization of process parameters. This book discusses advances in RSM and its applications. Chapters discuss topics such as cyclic generators for Box-Behnken Designs, the application of RSM for product design, and potential applications of RSM in manufacturing, food processing, the fine arts, and more.
606   $aGraphical modeling (Statistics)
606   $aExperimental design
615  0$aGraphical modeling (Statistics)
615  0$aExperimental design.
676   $a519.5
702   $aKayaroganam$b Palanikumar
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801  1$bNjHacl
906   $aBOOK
912   $a9910727290003321
996   $aResponse Surface Methodology - Research Advances and Applications$93381217
997   $aUNINA