While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research:
* screening designs
* mathematical modeling, and
Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods.
The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process.
With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.
Table of contents
I INTRODUCTION TO STATISTICS FOR ENGINEERS
Basic Distributions of Discrete and Continual Random Variables
Tests and Estimates on Statistical Variance
Analysis of Variance
II DESIGN AND ANALYSIS OF EXPERIMENTS
Introduction to Design of Experiments-Doe
Preliminary Examination of Subject of Research
Basic Experiment-Mathematical Modeling
Statistical Analysis of Experimental Results
Experimental Optimization of Research Subject
Canonical Analysis of the Response Surface
Examples of Complex Optimizations
III MIXTURE DESIGN
Simplex Lattice Design
Scheffe Simplex Lattice Design
Simplex Centroid Design
Extreme Vertices Design
Full Factorial Mixture Design
Crossed Design-Full Factorial Combined with Mixture Design
Examples of Complex Optimization Mixture Problems
Answers to Selected Problems
Tables of Statistical Functions
"covers the basic theory of DOE and provides numerous practical examples of its application in the chemical process industries"
Organic Process Research and Development, January 2005
"... a useful textbook for a graduate-level course in the statistics of experimental design."