Book description
A indispensable guide to understanding and designing modern experiments
The tools and techniques of Design of Experiments (DOE) allow
researchers to successfully collect, analyze, and interpret data
across a wide array of disciplines. Statistical Analysis of Designed
Experiments provides a modern and balanced treatment of DOE
methodology with thorough coverage of the underlying theory and
standard designs of experiments, guiding the reader through
applications to research in various fields such as engineering,
medicine, business, and the social sciences.
The book supplies a foundation for the subject, beginning with basic
concepts of DOE and a review of elementary normal theory statistical
methods. Subsequent chapters present a uniform, model-based approach
to DOE. Each design is presented in a comprehensive format and is
accompanied by a motivating example, discussion of the applicability
of the design, and a model for its analysis using statistical methods
such as graphical plots, analysis of variance (ANOVA), confidence
intervals, and hypothesis tests.
Numerous theoretical and applied exercises are provided in each
chapter, and answers to selected exercises are included at the end of
the book. An appendix features three case studies that illustrate the
challenges often encountered in real-world experiments, such as
randomization, unbalanced data, and outliers. Minitab® software is
used to perform analyses throughout the book, and an accompanying FTP
site houses additional exercises and data sets.
With its breadth of real-world examples and accessible treatment of
both theory and applications, Statistical Analysis of Designed
Experiments is a valuable book for experimental design courses at the
upper-undergraduate and graduate levels. It is also an indispensable
reference for practicing statisticians, engineers, and scientists who
would like to further their knowledge of DOE.
Ajit C. Tamhane, PhD, is Professor of Industrial Engineering and
Management Sciences and Senior Associate Dean of the McCormick School
of Engineering and Applied Science at Northwestern University. A
Fellow of the American Statistical Society, Dr. Tamhane has over
thirty years of academic and consulting experience in the areas of
applied and mathematical statistics. He is the coauthor of Multiple
Comparison Procedures, also published by Wiley.
