Description

Book Synopsis

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:

  • Describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling
  • Demonstrates the statistical analysis and optimization of different experimental designs, the results of which are used to establish important variables and optimum settings
  • Details the optimization techniques employed to determine optimum levels of the process variables for both single- and multipl

    Table of Contents

    Introduction. Non-Statistical Experimental Design. Response Surface Experimental Designs. Statistical Analysis of Experimental Designs and Optimization of Process Variables. Evolutionary Operation Programmes. Taguchi’s Design. Hybrid Experimental Design Based on a Genetic Algorithm.

Statistical Optimization of Biological Systems

    Product form

    A Hardback by R. Arun Kumar, Thomas Theodore, R. Arun Kumar

    £154.56

    Includes FREE delivery

    Order before 4pm on Monday for delivery by Wed 18 Nov 2026.

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Statistical Optimization of Biological Systems by R. Arun Kumar

      Book details

      Publisher Taylor & Francis
      Published 5 January 2015
      ISBN-13 9781466587083
      978-1466587083
      ISBN-10 1466587083
      Also in:
      Biology, life sciences Biotechnology Environmental science, engineering and technology

      Description

      Book Synopsis

      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:

      • Describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling
      • Demonstrates the statistical analysis and optimization of different experimental designs, the results of which are used to establish important variables and optimum settings
      • Details the optimization techniques employed to determine optimum levels of the process variables for both single- and multipl

        Table of Contents

        Introduction. Non-Statistical Experimental Design. Response Surface Experimental Designs. Statistical Analysis of Experimental Designs and Optimization of Process Variables. Evolutionary Operation Programmes. Taguchi’s Design. Hybrid Experimental Design Based on a Genetic Algorithm.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account