Anonymous
Posted December 31, 2001
As an entry level Engineer, this book opened my eyes to the power of a designed experiment over the trial and error, one-variable-at-a-time, inconclusive report-generating muck taught at many universities. Not only does it provide a method, but also more critically, it helps the reader internalize the concepts necessary for empirical work. The APL code in the original would benefit from updating to a more commonly used programming platform, such as MS Excel and Visual basic, or as an executable placed on a CD.
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More About This Textbook
Overview
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.
Editorial Reviews
Booknews
A text or tutorial for engineers and scientists with little or no statistical background who want to learn to design efficient experiments and to analyze data correctly but would dig ditches before they became statisticians. A Florida-based consulting engineer, Diamond suggests using the text in short courses on the fundamentals of experiment design taught by a statisticians to practicing engineers and scientists, or in an analogous graduate course. He emphasizes practical concerns rather than statistical theory, and presents examples from a wide range of science and engineering fields. No dates are noted for earlier editions. Annotation c. Book News, Inc., Portland, OR (booknews.com)Product Details
Table of Contents
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 Experiments with Qualitative Variables.
Multilevel Experiments with QuantitativeVariables.
Experiment Designs for Chemical Composition Experiments.
Random-Strategy Experiments.
RELATED TOPICS.
Blocking an Experiment.
Validation of Test Methods.
Concepts for a Complete Project Strategy.
Project Engineer's Game.
Estimation of Variance.
Testing Distributions.
GENERAL REFERENCES, SYMBOLS, TABLES, AND ANSWERS TO EXERCISES.
General References.
Symbols.
Tables.
Answers to Exercises.
Index.