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Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition,Used
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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 Variance Computer Analysis of Complex Designs Simplification by transformation Handson 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 multiresponse problems can be solved using the concepts of active and inert factor spaces and canonical spaces Bayesian 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 easytouse 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.
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- Q: How many pages does this book have? A: This book has six hundred thirty-three pages. It's designed to provide comprehensive guidance on statistical methods for experimenters.
- Q: What is the binding type of this book? A: The book is hardcover. This durable binding helps protect the pages and adds to its longevity.
- Q: What are the dimensions of this book? A: The dimensions are six point four two inches by one point five inches by nine point five inches. This size makes it portable and easy to handle.
- Q: Who is the author of this book? A: The author is George E. P. Box. He is a renowned statistician known for his contributions to experimental design.
- Q: Is this book suitable for beginners in statistics? A: Yes, it is suitable for beginners. The book is designed for individuals with only a basic understanding of mathematics.
- Q: Can I use this book for my graduate studies? A: Yes, this book is highly recommended for graduate students. It serves as an essential reference for researchers and students alike.
- Q: How do I apply the statistical methods from this book? A: You apply the statistical methods by following the examples and illustrations provided. The book emphasizes practical experimentation techniques.
- Q: Is this book relevant for engineering and biological sciences? A: Yes, it covers applications in engineering and biological sciences. The statistical tools discussed are applicable across various research fields.
- Q: How should I care for this hardcover book? A: Keep it in a dry place and avoid exposing it to direct sunlight. This will help maintain its condition and prevent fading.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact customer support for a replacement. Ensure you have your order details handy.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, customer satisfaction policies may allow for returns under certain conditions.
- Q: Are there any online resources related to this book? A: Yes, there are R packages available online that complement the book’s content. These resources aid in the practical application of statistical methods.
- Q: Does this book include examples and graphics? A: Yes, it includes numerous examples and readily understood graphics. This approach facilitates better comprehension of statistical concepts.
- Q: What are some new topics covered in this edition? A: New topics include Bayesian approaches and graphical analysis of variance. These updates reflect advances in statistical techniques.
- Q: Is there an appendix in this book? A: Yes, there is an appendix featuring Quaquaversal quotes. These quotes illustrate key concepts and enhance the learning experience.
- Q: Can I use commercial software to apply the book's methods? A: Yes, the statistical methods discussed can also be applied using easy-to-use commercial software packages. This ensures accessibility for users.