Engineering Statistics

DOUGLAS C. MONTGOMERY

John Wiley & Sons, Incorporated

Design and Analysis of Experiments, 7E International Student Version/ /

Design and Analysis of Experiments, 7E International Student Version

John Wiley & Sons, Ltd.

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Applied Statistics and Probability for Engineers

Science & Math

Mathematics

Praise for the First Edition "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: <ul> <li> A new chapter on random effects and designs for GLMs </li> <li> A thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal and ordinal responses, and overdispersion </li> <li> A new emphasis on GLM design, with added sections on designs for regression models and optimal designs for nonlinear regression models </li> <li> Expanded discussion of weighted least squares, including examples that illustrate how to estimate the weights </li> <li> Illustrations of R code to perform GLM analysis </li> </ul> 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.

Generalized Linear Models: With Applications in Engineering and the Sciences

Raymond H. Myers

Timothy J Robinson

wiley

Solutions Manual Design and Analysis of Experiments

Engineering & Transportation

Engineering

John Wiley&Sons, Inc.

John Wiley & Sons Canada; Limited

Now, with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professional engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis. Highlights of the Fourth Edition are: new examples and applications provide a real-world perspective on how engineers use probability and statistics in professional practice; over 600 exercises, including many new computation problems, provide opportunities for hands-on learning; an entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis; new chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques; each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic; and end-of-chapter summaries reinforce the main topics and goals of the chapter.

Probability and Statistics in Engineering

Business & Money

William W. Hines

Management & Leadership

John Wiley and Sons Ltd.

Book by Montgomery, Douglas C.; Runger, George C.; Hubele, Norma Faris

George C. Runger

Norma Faris Hubele

Applied Statistics and Probability for Engineers: Textbook and Student Workbook

John Wiley&Sons

This textbook provides a detailed treatment of statistical quality control, from basic principles to recent concepts and applications. It has been revised to include expanded coverage of variable control charts, a new section on process improvement, and additional case studies and examples.

Introduction to Statistical Quality Control

John Wiley and Sons (WIE)

See the best price to sell, buy, or rent books by DOUGLAS C. MONTGOMERY. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by DOUGLAS C. MONTGOMERY