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Statistical Optimization of Biological Systems (Hardcover) (Tapobrata Panda)

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Encompassing both single-response and multiple-response systems, this guide for engineers presents mathematical and statistical tools for experimental optimization of biological systems. The book begins with an overview of how biological systems differ, then presents a rationale for statistical methods of optimization and an overview of statistical techniques. Advantages and disadvantages of non-statistical methods of optimization are also discussed. Subsequent chapters deal with response-surface experimental designs, statistical analysis of experimental designs, optimization of process variables, evolutionary operation programs, and Taguchi’s design. The final chapter explains hybrid experimental design based on a genetic algorithm. Worked examples and chapter exercises are included. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 277
Genre: Medical, Science
Sub-Genre: Biotechnology, Biostatistics
Format: Hardcover
Publisher: Taylor & Francis
Author: Tapobrata Panda
Language: English
Street Date: November 5, 2015
TCIN: 50376649
UPC: 9781466587083
Item Number (DPCI): 248-06-5854
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