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Statistical Optimization of Biological Systems

Tapobrata Panda | Thomas Theodore | R. Arun Kumar
€186.00
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A01=R. Arun Kumar
A01=Tapobrata Panda
A01=Thomas Theodore
advanced bioprocess statistical analysis
Age Group_Uncategorized
Age Group_Uncategorized
ANOVA Table
Author_R. Arun Kumar
Author_Tapobrata Panda
Author_Thomas Theodore
automatic-update
Biological Systems
bioprocess engineering
Box Behnken Design
Box Behnken Design Approach
Category1=Non-Fiction
Category=PBU
Category=PSA
Central Composite Design
Continuous Flow Stirred Tank Reactor
Contour Step
COP=United States
Crossover Fraction
Delivery_Pre-order
Dummy Variables
Enzyme Production Medium
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Evolutionary Operation Programmes
Evolutionary Operation Programs
Evop
experimental methodology
factorial experiment methods
fermentation optimization
Fitness Function
Fractional Factorial Design
GA
Genetic Algorithms
Hadamard Matrix
Hybrid Experimental Design
Interaction Effect AB
Language_English
Mathematical Optimization
Nil Nil Nil
Nil Nil Nil Nil
Nil Nil Nil Nil Nil
Non-Statistical Experimental Design
OFAT Approach
Orthogonal Array
PA=Temporarily unavailable
Plackett Burman Design
Price_€100 and above
process parameter tuning
Process Variable Optimization
PS=Active
Quadratic Model Fit
regression modeling techniques
Resolution Iii
Response Surface Experimental Design
Shaker Speed
Simple ANOVA
softlaunch
Statistical Analysis Of Experimental Design
Statistical Experimental Design
Statistical Optimization
Taguchi's Design
Taguchi?S Design

Product details

  • ISBN 9781466587083
  • Weight: 544g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Nov 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description
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.
About R. Arun Kumar | Tapobrata Panda | Thomas Theodore

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 Engineering from Jadavpur University, Kolkata, India; and a PhD in Biochemical Engineering from the Indian Institute of Technology Delhi, New Delhi. Professor Panda is widely published and a member of several journals’ editorial boards. His papers have an ‘h’-index (Google Scholar) of 30 and ‘i-10’ value of 64. His areas of interest include hybrid experimental design, bio-MEMS, biological synthesis of nanoparticles, and design of therapeutic molecules and enzymes.

R. Arun Kumar is currently working with an oil and gas super major in liquefied natural gas business as a Process Engineer. Previously, he worked for an international oil and gas service company. He received a BTech in Chemical Engineering from the Indian Institute of Technology Madras, Chennai, India; and was in the top 1% of the National Astronomy and Physics Olympiad. His areas of interest include biochemical engineering, genetic algorithms applied to biological systems, and design of experiments.

Thomas Théodore is an Associate Professor of Chemical Engineering at the Siddaganga Institute of Technology, Tumkur, India. He received Chemical Engineering degrees from Annamalai University, Chidambaram, India, and Alagappa College of Technology, Chennai, India; an MS in Bioengineering from the École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris, France; an MEngSc in Biopharmaceutical Engineering from University College Dublin, Ireland; and a PhD in Biochemical Engineering from the Indian Institute of Technology Madras, Chennai, India. His areas of interest include therapeutic proteins and biodegradable polymers.

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