This text covers the three most common objectives of experimental research: screening designs, mathematical modeling, and optimization. It considers process factors, mixture factors, and their interaction. 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, experimental 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.

From the Preface: “...By being acquainted with the mathematical model of a process it is possible to control it, maintain it at an optimal level, provide maximal yield of the product, and obtain product at a minimal cost. Statistical methods in mathematical modeling of a process should not be opposed to traditional theoretical methods...The higher the theoretical level of knowledge the more efficient is the application of statistical methods like design of esperiments (DOE)...”

Target Audience: Engineers, scientists, and technologists engaged in research, development, and process control in the chemical industry; also upper-level chemical engineering students.

Table of Contents:

Introduction to Statistics for Engineers:

The Simplest Discrete and Continuous Distributions

Statistical Inference

Statistical Estimation

Tests and Estimates on Statistical Variance

Analysis of Variance

Regression Analysis

Correlation Analysis

Design and Analysis of Experiments:

Introduction to Design of Experiments (DOE)

Preliminary Examination of Subject of Research

Screening Experiments

Basic Experiment-Mathematical Modeling

Statistical Analysis

Experimental Optimization of Research Subject

Canonical Analysis of the Response Surface

Examples of Complex Optimizations

Mixture Design “Composition-Property”:

Screening Design “Composition-Property”

Simple Lattice Design

Scheffe Simplex Lattice Design

Simplex Centroid Design

Extreme Vertices Design

D-Optimal Designs

Draper-Lawrence Design

Factorial Experiments with Mixture

Full Factorial Combined with Mixture Design-Crossed Design

Appendices

Index