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Statistical optimization of biological systems / by Tapobrata Panda, Thomas Theodore and R. Arun Kumar.

By: Panda, Tapobrata [author.].
Contributor(s): Kumar, R. Arun [author.] | Theodore, Thomas [author.] | Taylor and Francis.
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, [2015]Copyright date: ©2016Edition: First edition.Description: 1 online resource (296 pages) : 191 illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780429168758.Subject(s): MEDICAL / Biostatistics | SCIENCE / Biotechnology | Biological systems | Biological systems | Biomathematics | BiomathematicsAdditional physical formats: Print version: : No titleDDC classification: 570.151 Online resources: Click here to view.
Contents:
chapter 1 Introduction -- chapter 2 Non-Statistical Experimental Design -- chapter 3 Response Surface Experimental Designs -- chapter 4 Statistical Analysis of Experimental Designs and Optimization of Process Variables -- chapter 5 Evolutionary Operation Programmes -- chapter 6 Taguchi's Design -- chapter 7 Hybrid Experimental Design Based on a Genetic Algorithm.
Abstract: A number of books written by statisticians address the mathematical optimization of biological systems, but do not directly address statistical optimization. Statistical Optimization of Biological Systems covers the optimization of bioprocess systems in its entirety, devoting much-needed attention to the experimental optimization of biological systems using statistical techniques. Employing real-life bioprocess optimization problems and their solutions as examples, this book:
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chapter 1 Introduction -- chapter 2 Non-Statistical Experimental Design -- chapter 3 Response Surface Experimental Designs -- chapter 4 Statistical Analysis of Experimental Designs and Optimization of Process Variables -- chapter 5 Evolutionary Operation Programmes -- chapter 6 Taguchi's Design -- chapter 7 Hybrid Experimental Design Based on a Genetic Algorithm.

A number of books written by statisticians address the mathematical optimization of biological systems, but do not directly address statistical optimization. Statistical Optimization of Biological Systems covers the optimization of bioprocess systems in its entirety, devoting much-needed attention to the experimental optimization of biological systems using statistical techniques. Employing real-life bioprocess optimization problems and their solutions as examples, this book:

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