Design of Experiments : A Realistic Approach book cover
1st Edition

Design of Experiments
A Realistic Approach

ISBN 9780367403454
Published September 5, 2019 by CRC Press
440 Pages

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Book Description

The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work.

No advanced mathematics is needed to utilize Design of Experiments – the necessary statistical concepts and briefly reviewed in the first two chapters. Subsequent chapters explain why and how the design of experiments in an intrinsic part of the scientific method, what problems will be encountered by the researcher in setting up his experiment and how to deal with them, and how to accurately analyze the result in terms of the sample taken and the method used. Each chapter includes problems encountered in specific fields so that the reader can test himself on his comprehension of the material. The diversity of the applications that these problems encompass also allows the reader to grasp the basic principles that unite the statistical approach to experiment design.

Researchers and students in engineering, agriculture, pharmacy, veterinary science, chemistry, biology, the social; sciences, statistics, mathematics, or any other field that requires the design, solution, and analysis of problems will find this book absolutely indispensable.

Table of Contents

Review of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices

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Dr. Vigor L. Anderson is a Professor of Statistics at Purdue University and is currently an University Associate with Bayer and McElrath Inc. Management Consultants, Detroit. He has been a statistical consultant to nearly every department at Purdue and to more than 25 industrial organizations, as well as to the Highway Research Board of the National Academy of Sciences. Dr. Anderson’s research interest concerns the application of statistics to various disciplines and he has published widely in diverse technical and scientific journals. He was Director of the NIH Biometry Trainee Program (1957-1971) and of the Statistics and Computing laboratory at Purdue (1956-1966). Dr. Anderson has also taught and organized courses on statistical methods and design of experiments in many industrial organizations. He is a Fellow of the American Statistical Association and a member of numerous professional and honorary societies.