Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form.
- Features new and updated material, including cases and a larger focus on multivariate analysis.
- Uses simple analysis tools for practical implementation on the job.
- Targets experiment planning as the groundwork for quality experiments.
Preface.
Acknowledgments.
FUNDAMENTALS OF EXPERIMENT DESIGN.
Introduction to Experiment Design: Fundamental Concepts.
Introduction to Experiment Design: Elements of Decision Making.
Simple Comparative Experiments: Decisions About Population Means.
Simple Comparative Experiments: Decisions About Population Variances.
Sequential Experiments.
TWO-LEVEL MULTIVARIABLE EXPERIMENTS.
Two-Level Multivariable Experiments: Eight-Trial Hadamard Matrix Designs.
Two-Level Multivariable Experiments: Hadamard Matrices Greater Than Order 8.
John's Three-Quarter Fractional Factorials.
Unbalanced Resolution V Designs.
Resolution V Designs with Efficiency = 1.
Hadamard Matrix Designs for Binomial and Poisson Responses.
Summary of Two-Level Matrix Designs.
A Computer Program for Generating Hadamard Matrix Designs and Analyzing the Data from Such Designs.
Analysis of Goodness.
Alternative Methods of Analysis.
MULTILEVEL MULTIVARIABLE EXPERIMENTS.
Multilevel lC/