"The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the excitement of these new approaches to familiar activities."
—Technometrics
Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences.
This new edition maintains its accessible approach to the topic by reviewing the various types of problems that support the use of GLMs and providing an overview of the basic, related concepts such as multiple linear regression, nonlinear regression, least squares, and the maximum likelihood estimation procedure. Incorporating the latest developments, new features of this Second Edition include:
A new chapter on random effects and designs for GLMs
A thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal and ordinal responses, and overdispersion
A new emphasis on GLM design, with added sections on designs for regression models and optimal designs for nonlinear regression models
Expanded discussion of weighted least squares, including examples that illustrate how to estimate the weights
Illustrations of R code to perform GLM analysis
The authors demonstrate the diverse applications of GLMs through numerous examples, from classical applications in the fields of biology and biopharmaceuticals to more modern examples related to engineering and quality assurance. The Second Edition has been designed to demonstrate the growing computational nature of GLMs, as SAS®, Minitab®, JMP®, and R software packages are used throughout the book to demonstrate fitting and analysis of generalized linear models, perform inference, and conduct diagnostic checking. Numerous figures and screen shots illustrating computer output are provided, and a related FTP site houses supplementary material, including computer commands and additional data sets.
Generalized Linear Models, Second Edition is an excellent book for courses on regression analysis and regression modeling at the upper-undergraduate and graduate level. It also serves as a valuable reference for engineers, scientists, and statisticians who must understand and apply GLMs in their work.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Douglas C. Montgomery, PhD, is Regents' Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery has more than thirty years of academic and consulting experience and has devoted his research to engineering statistics, specifically the design and analysis of experiments. He has authored or coauthored numerous journal articles and twelve books, including Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Third Edition; Introduction to Linear Regression Analysis, Fourth Edition; and Introduction to Time Series Analysis and Forecasting, all published by Wiley.
G. Geoffrey Vining, PhD, is Professor in the Department of Statistics at Virginia Polytechnic Institute and State University. A Fellow of both the American Statistical Association and the American Society for Quality, Dr. Vining is also the coauthor of Introduction to Linear Regression Analysis, Fourth Edition (Wiley).
Timothy J. Robinson, PhD, is Associate Professor in the Department of Statistics at the University of Wyoming. He has written numerous journal articles in the areas of design of experiments, response surface methodology, and applications of categorical data analysis in engineering, medicine, and the environmental sciences.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 4,21
In U.S.A.
Descrizione libro Hardcover. Condizione: New. 2nd Edition. This is a new hardcover second edition, first printing copy, no DJ, gray spine. 496 pages with index. Codice articolo 104068
Descrizione libro Hardcover. Condizione: new. New. Fast Shipping and good customer service. Codice articolo Holz_New_0470454636
Descrizione libro Hardcover. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo think0470454636
Descrizione libro Condizione: New. Codice articolo 5767062-n
Descrizione libro Condizione: new. Codice articolo 156b188c9bffb5e6a9312f19a10c58fb
Descrizione libro Condizione: New. Codice articolo 5767062-n
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FW-9780470454633
Descrizione libro Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. Codice articolo B9780470454633
Descrizione libro Gebunden. Condizione: New. Raymond H. Myers, PhD, is Professor Emeritus in the Department of Statistics at Virginia Polytechnic Institute and State University. He has more than forty years of academic experience in the areas of experimental design and analysis, response surface analy. Codice articolo 556555563
Descrizione libro Condizione: New. Maintaining the same nontechnical approach as its acclaimed predecessor, this second edition of Generalized Linear Models is now thoroughly extended to include the latest developments in the field, the most relevant computational approaches, and the most relevant examples from the fields of engineering and physical sciences. Series: Wiley Series in Probability and Statistics. Num Pages: 496 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 243 x 165 x 28. Weight in Grams: 822. . 2010. 2nd Edition. Hardcover. . . . . Codice articolo V9780470454633