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
optimization.
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.
screening designs
mathematical modeling, and
optimization.
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
PrefaceI INTRODUCTION TO STATISTICS FOR ENGINEERS
Basic Distributions of Discrete and Continual Random Variables
Statistical Inference
Statistical Estimation
Tests and Estimates on Statistical Variance
Analysis of Variance
Regression Analysis
Correlation Analysis
References
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
References
III MIXTURE DESIGN
Screening Designs
Simplex Lattice Design
Scheffe Simplex Lattice Design
Simplex Centroid Design
Extreme Vertices Design
D-Optimal Design
Draper-Lawrence Design
Full Factorial Mixture Design
Crossed Design-Full Factorial Combined with Mixture Design
Examples of Complex Optimization Mixture Problems
References
IV APPENDIX
Answers to Selected Problems
Tables of Statistical Functions
