Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building - Hardcover

George E.P. Box; William G. Hunter; J. Stuart Hunter

Hardcover

ISBN 10: 0471093157 ISBN 13: 9780471093152

Publisher: John Wiley & Sons, 1978

Synopsis

The book integrates the lives of those who graduated from the school and what happened to them after leaving Chestnut and through the years. This is done through stories in the former students own words accompanied by photos on then, now, and their families. It lists all the students who graduated from Chestnut and the year of graduation.

About this title

About the Author

George E.P. Box is R.A. Fisher Professor of Statistics at the University of Wisconsin. He received the degrees of Ph.D. and D.Sc. in mathematical statistics from the University of London and an Honorary D.Sc. from the University of Rochester. He had many years of experience as a practicing statistician in the British Army and later in Imperial Chemical Industries, Ltd., and has served as a consultant to industry and government. He is a Fellow of the American Academy of Arts and Sciences, and a recipient of the Wilks memorial medal of the American Statistical Association, the Shewhart medal of the American Society for Quality Control, and the Guy medal in silver of the Royal Statistical Society. He is an author of over 100 published papers and of the following books: Time Series Analysis Forecasting and Control (with G. M. Jenkins); Bayesian Inference in Statistical Analysis (with G. C. Tiao); and Evolutionary Operation (with N. R. Draper).

From the Back Cover

This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. From the beginning it source of ideas is the scientific method itself and the need of the investigator to make his research as effective as possible through proper choice and conduct of experiments and appropriate analysis of data. While the book is unusual in the attention given to the scientific philosophy, it requires only elementary mathematics.

Material is presented with the non-statistician in mind. 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.

In addition to many worked examples in the text, there are frequent exercises (with answers) throughout the book. There are also questions at the end of each chapter (for purposes of preview and review) and numerous problems at the end of each part of the book.

Box, Hunter, and Hunter-all statistical practitioners themselves-provide scientists and engineers with a lucid introduction to the basic statistical methods needed for research. In the last part of the book, advanced topics, selected for their special interest to scientific investigators, are introduced in readily understood language. These include time series analysis, response surface methods, regression analysis, study of error transmission, and mechanistic model-building.

From the Inside Flap

Applied Regression Analysis Second Edition Norman Draper and Harry Smith, Jr. The revised, expanded Second Edition of this popular book by two authorities with more than 50 years of combined experience in the field. Draper and Smith offer a comprehensive introduction to fundamentals, concepts and applications. This Second Edition treats basic multiple linear regression, the examination of residuals, the planning of large regression studies, the theory of nonlinear estimation, the "practical" significance of regression, and much more. With many new exercises, examples, and references, this book is unusually versatile a useful reference for professionals in many fields. 1981 (0 471-02995-5) 709 pp. Nonlinear Regression G. A. F. Seber and C. J. Wild Nonlinear Regression carefully blends the theory and practice of nonlinear regression and includes numerous computational examples and graphs throughout. Treats the broad aspects of model building and statistical inference, and serves as a thorough introduction to the topic for graduate students and as an accessible reference source for professionals. Most chapters are self-contained, and new and important material relating to the concept of curvature and its growing role in statistical inference is included. Ideal for those training to be statisticians, biometricians, and econometricians, as well as providing research scientists with up-to-date, readable access to their fields. 1989 (0 471-61760-1) 768 pp. Statistical Design for Research Leslie Kish The issues of data collection and selection, vital to statistics, yet often neglected, are described in-depth in Statistical Design For Research, as well as the ramifying effects of statistical design in the social and health sciences, education, and market research. Emphasizing research design development, this important work includes a discussion of key methods experimental designs, survey sampling, and controlled investigations plus ample tables, figures and problem sets. 1987 (0 471-08359-3) 296 pp.

Edition details

• Publisher: John Wiley & Sons
• Publication date: 1978
• Language: English
• ISBN 10: 0471093157
• ISBN 13: 9780471093152
• Binding: Hardcover
• Number of pages: 653