Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition 2nd Edition by George E. P. Box | (PDF) Free Download

Description

A Classic adapted to modern timesRewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with 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 research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.Among the new topics included are:Graphical Analysis of VarianceComputer Analysis of Complex DesignsSimplification by transformationHands-on experimentation using Response Service MethodsFurther development of robust product and process design using split plot arrangements and minimization of error transmissionIntroduction to Process Control, Forecasting and Time SeriesIllustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spacesBayesian approaches to model selection and sequential experimentationAn 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.

User’s Reviews

Editorial Reviews: Review “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) From the Inside Flap The new classicFor 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 varianceComputer analysis to determine best follow-up runsSimplification by transformationHands-on experimentation using response surface methodsFurther development of robust product and process design using split-plot arrangements and minimization of error transmissionIntroduction to process control, forecasting, and time seriesIllustrations demonstrating how multiresponse problems can be solved using the concepts of active and inert factor spaces and canonical spacesBayesian approaches to model selection and sequential experimentationApplications for Six Sigma initiatives in a variety of disciplinesAappendix featuring Quaquaversal quotes from noted statisticians, scientists, and philosophers that embellish key concepts and enliven the learning processComputations 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. From the Back Cover The new classicFor 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 varianceComputer analysis to determine best follow-up runsSimplification by transformationHands-on experimentation using response surface methodsFurther development of robust product and process design using split-plot arrangements and minimization of error transmissionIntroduction to process control, forecasting, and time seriesIllustrations demonstrating how multiresponse problems can be solved using the concepts of active and inert factor spaces and canonical spacesBayesian approaches to model selection and sequential experimentationApplications for Six Sigma initiatives in a variety of disciplinesAappendix featuring Quaquaversal quotes from noted statisticians, scientists, and philosophers that embellish key concepts and enliven the learning processComputations 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. About the Author GEORGE E. P. BOX, PhD, DSc, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin–Madison. He is a Fellow of the Royal Society, an Honorary Fellow and Shewhart and Deming Medalist of the American Society for Quality and was awarded the Guy Medal in Gold of the Royal Statistical Society. He is also the recipient of the Samuel S. Wilks Memorial Medal of the American Statistical Association. J. STUART HUNTER, PhD, DSc, is Professor Emeritus of Civil Engineering at Princeton University. Dr. Hunter is a member of the National Academy of Engineering and has served as consultant to many industries and government agencies. He has been a staff member of the National Academy of Sciences, Committee on National Statistics; statistician in residence at the University of Wisconsin; and is the founding editor of Technometrics.The late WILLIAM G. HUNTER, PhD, was Professor of Statistics and Engineering at the University of Wisconsin–Madison. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book is really amazing. Would be helpful to anyone who would like to plan their experiments systematically in advance.The Book was delivered swiftly from Singapore to USA. The packaging was excellent. Great experience with the seller.Thank you

⭐Eas yto apply and easy to understand-

⭐This book is a must-have and should be on any statistician’s bookshelf.

⭐First Edition is definitely much better than the current edition! Quite a few important topics were scrapped such as Yates algorithm!

⭐we received this book and thank

⭐Great condition!

⭐Excellent book.

⭐Fanstastic book,….if u are into Statistics this is your book……Very straight-forward, and for those with preliminary Statistics knowledge more of a reference. Great book!!

⭐C’est un très bon guide mais comme j’ai déjà plusieurs livres de Montgomery, cela a malheureusement fait double emploi. Néanmoins, pour celui qui n’a pas la série des Montgomery : c’est plutôt pratique mais les exemples ne sont pas très nombreux.Quick and neat!Perfect

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