Statistics for Experimenters : Design, Innovation, and Discovery
Among the new topics included are: * Graphical Analysis of Variance * Computer Analysis of Complex Designs * Simplification by transformation * Hands-on experimentation using Response Service 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 multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces * Bayesian approaches to model selection and sequential experimentation An appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process. All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses 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 individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. 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 is a highly recommended course book for undergraduate and graduate students.
- Hardback | 672 pages
- 168 x 242 x 45mm | 1,248g
- 01 Dec 2005
- John Wiley & Sons Inc
- New York, United States
- 2nd Edition
- illustrations, bibliog , index
Other books in this series
21 Sep 2010
15 Apr 2008
12 Mar 2014
03 May 2011
01 Dec 2005
27 Sep 2011
23 Mar 2007
26 Sep 2008
30 Dec 2009
11 Jan 2006
29 Oct 2012
03 Mar 2009
28 Jul 2008
17 Apr 2012
05 Mar 2007
Back cover copy
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.
Table of contents
"...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)
About George E. P. Box