Strategies for Experimentation. Statistical Analysis of Experimental Data. Basic Two-Level Factorial Experiments. Advanced Topics in the Design and Analysis of 2k Factorial Experiments. General Factorial Experiments and ANOVA. Regression Analysis of Experimental Data. Variance Component Studies. Screening Designs. Optimization Experiments. Response Surface Model Fitting. Sequential Experimentation. Mixture Experiments. Practical Suggestions for Successful Experimentation. Appendix.
John Lawson is a professor of statistics in the Department of Statistics at Brigham Young University, Provo, Utah. John Erjavec is a retired professor and chair of the Department of Chemical Engineering, University of North Dakota, Grand Forks, North Dakota.
"The purpose of this book is to educate scientists and engineers
on statistical strategies for developing and improving products and
processes, because: 'Companies that use these strategies as
standard operating procedures can expect large cost reductions in
manufacturing, improved product quality, and reduced lead time for
the introduction of new products and/or manufacturing methods'
(Preface). The material covered in the book has been taught in a
one-semester course and portions of the book have been taught in
workshop settings."
~Robert Easterling, Technometrics "This book aims to present the
fundamentals of data analysis and interpretation for the sciences
and engineering. Overall, the topics are very informative, and the
book is dense in useful knowledge. This material is appropriate for
undergraduate or graduate level students; it will be of great use
to practitioners across a range of technical fields and for
professionals who wish to gain a stronger understanding of
experimental design and statistics. There is an emphasis on
practical working knowledge, with many examples that are detailed
enough to seem realistic. The book starts with basic definitions
and concepts related to experimental design and does not presuppose
a background in this area. Abundant supporting black-and-white
figures and tables allow readers to consider the implementation of
statistical concepts. A nice benefit is the exposure to a variety
of graphical ways to present dataaEURO"from dot plots and dot
diagrams to histograms, boxplots, three-dimensional surface plots,
etc. The work mentions open source programs as an alternative to
commonly used proprietary software, such as Excel and Minitab. The
volume is strongly recommended for all readers in the sciences and
engineering fields."
~M. R. King, Vanderbilt University
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