Statistics for Experimenters: Design, Innovation, and Discovery (Wiley Series in Probability and Statistics) [Hardcover]

"This is a very well written book that every design engineering and design technician needs to own." ( IEEE Electrical Insulation Magazine , May/June 2008) "…very few of our profession would fail to benefit from and enjoy reading it." ( Journal of the American Statistical Association , December 2006) "...belongs on the shelf on every industrial statistician. There is much wisdom and depth here, and the improvements embodied in this new edition are substantial enough to recommend it even to those who already possess the first edition." ( The American Statistician , November 2006) "...remains one of the essential books in experimental design and analysis...buying the second edition is absolutely worth the effort..." ( MAA Reviews , August 18, 2006) "…the new edition is a significant improvement on what was already a classic." ( AIChE Journal , July 2006) "Is it really possible to update a well–known, classic textbook and improve it? Yes, it is not only possible but it has been done." ( Technometrics , May 2006) "...it often happens that there is no statistician around when you desperately need one – then it may be useful to pull this from your laboratory textbook shelf." ( Canadian Journal of Medical Laboratory Science , February 2006) "A very useful and valuable statistics book…highly recommended." ( CHOICE , February 2006) "This is an excellent book indeed. Like the first edition, this book will soon become a must for all experimenters and educators/trainers. I would strongly recommend this book to everyone." ( Journal of Quality Technology , January 2006) "This text is, undoubtedly, an essential reference for all researchers and an invaluable course book for undergraduate and graduate students." ( Mathematical Reviews , 20006b) "...this is a welcome second edition of a much loved book...valuable..." ( International Statistical Institute , January 2006)

"…very few of our profession would fail to benefit from and enjoy reading it." ( Journal of the American Statistical Association , December 2006) "...belongs on the shelf on every industrial statistician. There is much wisdom and depth here, and the improvements embodied in this new edition are substantial enough to recommend it even to those who already possess the first edition." ( The American Statistician , November 2006) "...remains one of the essential books in experimental design and analysis...buying the second edition is absolutely worth the effort..." ( MAA Reviews , August 18, 2006) "…the new edition is a significant improvement on what was already a classic." ( AIChE Journal , July 2006) "Is it really possible to update a well–known, classic textbook and improve it? Yes, it is not only possible but it has been done." ( Technometrics , May 2006) "...it often happens that there is no statistician around when you desperately need one – then it may be useful to pull this from your laboratory textbook shelf." ( Canadian Journal of Medical Laboratory Science , February 2006) "A very useful and valuable statistics book…highly recommended." ( CHOICE , February 2006) "This is an excellent book indeed. Like the first edition, this book will soon become a must for all experimenters and educators/trainers. I would strongly recommend this book to everyone." ( Journal of Quality Technology , January 2006) "This text is, undoubtedly, an essential reference for all researchers and an invaluable course book for undergraduate and graduate students." ( Mathematical Reviews , 20006b) "...this is a welcome second edition of a much loved book...valuable..." ( International Statistical Institute , January 2006)

The new classic For many years, the First Edition of Statistics for Experimenters has been a premier guide and reference for the application of statistical methods, especially as applied to experimental design. Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approach as the landmark First Edition by demonstrating through worked examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from investigation and research. The authors′ practical approach starts with a problem that needs to be solved and then illustrates the statistical methods best utilized in all stages of design and analysis. Providing even greater accessibility for its users, the Second Edition reflects new techniques and technologies developed since the publication of the classic First Edition. Among the new topics included are: Graphical analysis of variance Computer analysis to determine best follow–up runs Simplification by transformation Hands–on experimentation using response surface methods Further development of robust product and process design using split–plot arrangements and minimization of error transmission Introduction to process control, forecasting, and time series Illustrations demonstrating how multiresponse problems can be solved using the concepts of active and inert factor spaces and canonical spaces Bayesian approaches to model selection and sequential experimentation Applications for Six Sigma initiatives in a variety of disciplines Aappendix featuring Quaquaversal quotes from noted statisticians, scientists, and philosophers that embellish key concepts and enliven the learning process Computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lambda plots, Bayesian screening, and model building are all included, and R packages are available on a related FTP site. These topics can also be applied utilizing easy–to–use commercial software packages. Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for all individuals who must use statistical approaches to conduct an experiment. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and an invaluable course book for undergraduate and graduate students.