Statistics for Experimenters
An Introduction to Design, Data Analysis, and Model Building
(Sprache: Englisch)
The second edition of Statistics for Experimenters focuses on applications in the physical, engineering, biological, and social sciences. From the beginning, the book's source of ideas is the scientific method itself and the need of the investigator to make...
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Produktinformationen zu „Statistics for Experimenters “
The second edition of Statistics for Experimenters focuses on applications in the physical, engineering, biological, and social sciences. From the beginning, the book's source of ideas is the scientific method itself and the need of the investigator to make his or her research as effective as possible through proper choice and conduct of experiments and appropriate analysis of data. After a problem is stated, appropriate statistical methods of design and analysis are discussed. And frequently, examples are presented for which standard mathematical assumptions are wrong, thus forcing the reader's attention onto the essential precautions necessary in the conduct of the experiment to ensure valid conclusions.
Klappentext zu „Statistics for Experimenters “
A Classic adapted to modern times Rewritten 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 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
... mehr
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.
... weniger
A Classic adapted to modern times Rewritten 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 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.
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 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.
Inhaltsverzeichnis zu „Statistics for Experimenters “
1. Catalizing the Generation of Knowledge. 2. Basics: probability, Parameters and Statistics. 3. Comparing Two Entities: Relevant Reference Distributions, Tests and Confidence Intervals. 4. Comparing a Number of Entities: Randomized Blocks and Latin Squares. 5. Factorial Designs at Two Levels: Advantages of Experimental Design. 6. Fraction Factorial Designs: Economy in Experimentation. 7. Other Fractionals, Analysis and Choosing Follow-up Runs. 8. Factorial Designs and Data Transformation. 9. Multiple Sources of Variation: Split Plot Designs, Variance Components and Error Transmission. 10. Least Squares and Why You Need to Design Experiments. 11. Modelling Relationships, Sequential Assembly: Basics for Response Surface Methods. 12. Some Applications of Response Surface Methods. 13. Designing Robust Products: An Introduction. 14. Process Control, Forecasting and Times Series: An Introduction. 15. Evolutionary Process Operation. Appendices. Index.
Autoren-Porträt von George E. P. Box, J. Stuart Hunter, William G. Hunter
GEORGE E.P. BOX, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics at the University of Wisconsin-Madison. He is a Fellow of the American Academy of Arts and Sciences and a recipient of the Samuel S. Wilks Memorial Medal of the American Statistical Association, the Shewhart Medal of the American Society for Quality, and the Guy Medal in Silver of the Royal Statistical Society.J. STUART HUNTER, PhD, is Professor Emeritus of Civil Engineering at Princeton University. Dr. Hunter 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, and statistician in residence at the University of Wisconsin, and is the founding editor of Technometrics.
The late WILLIAM G. HUNTER, PhD, was Professor Emeritus of Statistics and Engineering at the University of Wisconsin-Madison.
Bibliographische Angaben
- Autoren: George E. P. Box , J. Stuart Hunter , William G. Hunter
- 2005, 2. Aufl., 672 Seiten, mit Abbildungen, Masse: 24,3 x 16 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0471718130
- ISBN-13: 9780471718130
Sprache:
Englisch
Rezension zu „Statistics for Experimenters “
"...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)
Pressezitat
"...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)
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