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    Statistical Optimization of Biological Systems

    Statistical Optimization of Biological Systems

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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.

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    Detaljer
    • SprogEngelsk
    • Sidetal296
    • Udgivelsesdato26-07-2017
    • ISBN139781138893139
    • Forlag Crc Press
    • FormatPaperback
    Størrelse og vægt
  • Vægt430 g
    • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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    Genetic algorithms Mathematical optimization Biological systems Dummy variables Box-Behnken design Ga ANOVA Table Box Behnken Design Approach Central composite design Crossover Fraction Continuous Flow Stirred Tank Reactor Evolutionary Operation Programmes Fitness Function Evolutionary Operation Programs Contour Step Hadamard Matrix Fractional Factorial Design Hybrid Experimental Design Enzyme Production Medium EVOP Nil Nil Nil Nil Nil Non-Statistical Experimental Design Orthogonal Array Nil Nil Nil Nil Quadratic Model Fit Response Surface Experimental Design Statistical Analysis of Experimental Design Shaker Speed Interaction Effect AB Statistical Experimental Design Nil Nil Nil Process Variable Optimization OFAT Approach Resolution Iii Simple ANOVA Taguchi’s Design Statistical optimization
    Machine Name: SAXO082