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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
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Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138893137 ISBN 13: 9781138893139
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Kartoniert / Broschiert. Condition: New. Tapobrata Panda is a Professor at the Indian Institute of Technology Madras, Chennai, India. He received a BSc (honors) in Chemistry from the University of Calcutta, Kolkata, India a BTech and MTech in Food Technology and Biochemical En.
Paperback. Condition: Brand New. 296 pages. 9.21x6.14x0.79 inches. In Stock.
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Language: English
Published by Taylor & Francis Ltd Jul 2017, 2017
ISBN 10: 1138893137 ISBN 13: 9781138893139
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Taschenbuch. Condition: Neu. Neuware.
Language: English
Published by CRC Press 2015-11-24, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
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Language: English
Published by Taylor & Francis Group, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 450.
Language: English
Published by Taylor & Francis Group, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 450.
Language: English
Published by Taylor and Francis Inc, US, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs.
Language: English
Published by Taylor & Francis Group, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 450.
Hardcover. Condition: Brand New. 1st edition. 277 pages. 9.50x6.25x0.75 inches. In Stock.
Condition: New. Tapobrata Panda is a Professor at the Indian Institute of Technology Madras, Chennai, India. He received a BSc (honors) in Chemistry from the University of Calcutta, Kolkata, India a BTech and MTech in Food Technology and Biochemical En.
Buch. Condition: Neu. Neuware - This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs.
Buch. Condition: Neu. Statistical Optimization of Biological Systems | Tapobrata Panda (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2015 | CRC Press | EAN 9781466587083 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Taylor and Francis Inc, US, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs.
Language: English
Published by Taylor & Francis Inc, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Statistical Optimization of Biological Systems examines the complex nature of biological systems, the need for optimization, and the rationale of statistical and non-statistical optimization methods. More importantly, the book explains how to successfully apply mathematical and statistical techniques to the optimization of biological systems. -- Num Pages: 296 pages, 72 black & white illustrations, 119 black & white tables. BIC Classification: PBU; PSA. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156 x 20. Weight in Grams: 544. . 2015. Hardback. . . . . Books ship from the US and Ireland.
Language: English
Published by Taylor & Francis Inc, 2015
ISBN 10: 1466587083 ISBN 13: 9781466587083
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Statistical Optimization of Biological Systems examines the complex nature of biological systems, the need for optimization, and the rationale of statistical and non-statistical optimization methods. More importantly, the book explains how to successfully apply mathematical and statistical techniques to the optimization of biological systems. -- Num Pages: 296 pages, 72 black & white illustrations, 119 black & white tables. BIC Classification: PBU; PSA. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156 x 20. Weight in Grams: 544. . 2015. Hardback. . . . .
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Condition: As New. Unread book in perfect condition.
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