∗ screening designs
∗ mathematical modeling, and
Dealing with three different type of factors:
∗ Process Factors
∗ Mixture Factors
∗ Process and Mixture Factors combined together.
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.
We are convinced that this is an invaluable and convenient source of helpful information for all those involved in the optimization of processes.
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
Organic Process Research and Development, January 2005
"... a useful textbook for a graduate–level course in the statistics of experimental design."