Statistics For Experimenters: An Introduction to Design, Data Analysis and Model Building (Probability & Mathematical Statistics S.) - Tapa dura

Box, George-E-P

 
9780471093152: Statistics For Experimenters: An Introduction to Design, Data Analysis and Model Building (Probability & Mathematical Statistics S.)
Tapa dura
ISBN 10: 0471093157 ISBN 13: 9780471093152
Editorial: Wiley, 1978

Sinopsis

Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.

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Acerca del autor

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). William G. Hunter is Professor of Statistics and Engineering at the University of Wisconsin, Madison. In chemical engineering he received degrees of B.S.E. from Princeton University and M.S. E. from the University of Illinois. In statistics he received M.S. and Ph.D. degrees from the University of Wisconsin. He has also taught at the University of Ife in Nigeria, the University of Singapore, and Imperial College of Science and Technology in England. Dr. Hunter is an author of more than fifty technical articles and is an Associate Editor of Technometrics. A consultant, he ha also rpesented over sixty short courses for industry, government, and such organizations as the American Association for the Advancement of Science, the American Institute of Chemical Engineers, the American Society for Quality Control, and the United Nations. J. Stuart Hunter is Professor of Civil Engineering at Princeton University. He received his B.S. in electrical engineering, his M.S. in engineering mathematics from North Carolina State University, and his Ph.D. in experimental statistics from the Institute of Statistics at North Carolina State University and the University of North Carolina. A leader in the exposition of statistical methods for over 25 years, Dr. Hunter has served as consultant to many industries and government agencies. He has been a staff member of the National Academy of Science, Committee on National Statistics, and Statistician in Residence at the University of Wisconsin, and is the Founding Editor of Technometrics. He is a member of numerous professional societies, has published extensively, and is the coauthor (with I. Guttman and S.S. Wilks) of Introductory Engineering Statistics, Second Edition (published by Wiley--Interscience).

De la solapa interior

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.

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Editorial
Wiley
Año de publicación
1978
Idioma
Inglés
ISBN 10 
0471093157
ISBN 13 
9780471093152
Encuadernación
Tapa dura
Número de páginas
672
Contacto del fabricante
no disponible
Persona responsable
no disponible