Montgomery, Douglas C.
Overview
Works:  171 works in 1,106 publications in 6 languages and 18,066 library holdings 

Genres:  Textbooks Handbooks and manuals 
Roles:  Author, Editor, Contributor, Other 
Classifications:  QA279, 519.5 
Publication Timeline
.
Most widely held works by
Douglas C Montgomery
Design and analysis of experiments by
Douglas C Montgomery(
Book
)
173 editions published between 1976 and 2017 in 4 languages and held by 3,410 WorldCat member libraries worldwide
"Now in this Sixth Edition, Douglas Montgomery has enhanced his bestselling text with timely new examples, new homework problems, expanded material on followup experimentation following a fractional factorial, and more coverage of splitplot designs."Jacket
173 editions published between 1976 and 2017 in 4 languages and held by 3,410 WorldCat member libraries worldwide
"Now in this Sixth Edition, Douglas Montgomery has enhanced his bestselling text with timely new examples, new homework problems, expanded material on followup experimentation following a fractional factorial, and more coverage of splitplot designs."Jacket
Introduction to statistical quality control by
Douglas C Montgomery(
Book
)
116 editions published between 1985 and 2013 in 5 languages and held by 2,209 WorldCat member libraries worldwide
This book explores the modern use of statistical methods in quality control and improvement. It provides comprehensive coverage of the subject from basic principles to stateoftheart concepts and applications. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation, showing how modern engineers use quality control today
116 editions published between 1985 and 2013 in 5 languages and held by 2,209 WorldCat member libraries worldwide
This book explores the modern use of statistical methods in quality control and improvement. It provides comprehensive coverage of the subject from basic principles to stateoftheart concepts and applications. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation, showing how modern engineers use quality control today
Introduction to linear regression analysis by
Douglas C Montgomery(
Book
)
90 editions published between 1982 and 2015 in 3 languages and held by 1,758 WorldCat member libraries worldwide
"A comprehensive and uptodate introduction to the fundamentals of regression analysis The Fourth Edition of Introduction to Linear Regression Analysis describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. This popular book blends both theory and application to equip the reader with an understanding of the basic principles necessary to apply regression modelbuilding techniques in a wide variety of application environments. It assumes a working knowledge of basic statistics and a familiarity with hypothesis testing and confidence intervals, as well as the normal, t, x2, and F distributions. Illustrating all of the major procedures employed by the contemporary software packages MINITAB(r), SAS(r), and SPLUS(r), the Fourth Edition begins with a general introduction to regression modeling, including typical applications. A host of technical tools are outlined, such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. Subsequent chapters discuss: * Indicator variables and the connection between regression and analysisofvariance models * Variable selection and modelbuilding techniques and strategies * The multicollinearity problemits sources, effects, diagnostics, and remedial measures * Robust regression techniques such as Mestimators, and properties of robust estimators * The basics of nonlinear regression * Generalized linear models * Using SAS(r) for regression problems This book is a robust resource that offers solid methodology for statistical practitioners and professionals in the fields of engineering, physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Both the accompanying FTP site, which contains data sets, extensive problem solutions, software hints, and PowerPoint(r) slides, as well as the book's revised presentation of topics in increasing order of complexity, facilitate its use in a classroom setting. With its new exercises and structure, this book is highly recommended for upperundergraduate and beginning graduate students in mathematics, engineering, and natural sciences. Scientists and engineers will find the book to be an excellent choice for reference and selfstudy."Publisher's website
90 editions published between 1982 and 2015 in 3 languages and held by 1,758 WorldCat member libraries worldwide
"A comprehensive and uptodate introduction to the fundamentals of regression analysis The Fourth Edition of Introduction to Linear Regression Analysis describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. This popular book blends both theory and application to equip the reader with an understanding of the basic principles necessary to apply regression modelbuilding techniques in a wide variety of application environments. It assumes a working knowledge of basic statistics and a familiarity with hypothesis testing and confidence intervals, as well as the normal, t, x2, and F distributions. Illustrating all of the major procedures employed by the contemporary software packages MINITAB(r), SAS(r), and SPLUS(r), the Fourth Edition begins with a general introduction to regression modeling, including typical applications. A host of technical tools are outlined, such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. Subsequent chapters discuss: * Indicator variables and the connection between regression and analysisofvariance models * Variable selection and modelbuilding techniques and strategies * The multicollinearity problemits sources, effects, diagnostics, and remedial measures * Robust regression techniques such as Mestimators, and properties of robust estimators * The basics of nonlinear regression * Generalized linear models * Using SAS(r) for regression problems This book is a robust resource that offers solid methodology for statistical practitioners and professionals in the fields of engineering, physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Both the accompanying FTP site, which contains data sets, extensive problem solutions, software hints, and PowerPoint(r) slides, as well as the book's revised presentation of topics in increasing order of complexity, facilitate its use in a classroom setting. With its new exercises and structure, this book is highly recommended for upperundergraduate and beginning graduate students in mathematics, engineering, and natural sciences. Scientists and engineers will find the book to be an excellent choice for reference and selfstudy."Publisher's website
Applied statistics and probability for engineers by
Douglas C Montgomery(
Book
)
152 editions published between 1994 and 2014 in 4 languages and held by 1,540 WorldCat member libraries worldwide
This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineeringbased, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control
152 editions published between 1994 and 2014 in 4 languages and held by 1,540 WorldCat member libraries worldwide
This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineeringbased, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control
Response surface methodology : process and product optimization using designed experiments by
Raymond H Myers(
Book
)
51 editions published between 1995 and 2016 in English and held by 917 WorldCat member libraries worldwide
"Identifying an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, stateoftheart presentation of response surface methodology (RSM). This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM. Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development."Jacket
51 editions published between 1995 and 2016 in English and held by 917 WorldCat member libraries worldwide
"Identifying an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, stateoftheart presentation of response surface methodology (RSM). This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM. Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development."Jacket
Engineering statistics by
Douglas C Montgomery(
Book
)
80 editions published between 1997 and 2012 in 3 languages and held by 895 WorldCat member libraries worldwide
Focusing on how statistical tools are integrated into the engineering problemsolving process, this book provides modern coverage of engineering statistics. It presents a wide range of techniques and methods that engineers will find useful in professional practice
80 editions published between 1997 and 2012 in 3 languages and held by 895 WorldCat member libraries worldwide
Focusing on how statistical tools are integrated into the engineering problemsolving process, this book provides modern coverage of engineering statistics. It presents a wide range of techniques and methods that engineers will find useful in professional practice
Probability and statistics in engineering and management science by
William W Hines(
Book
)
29 editions published between 1972 and 2000 in English and held by 853 WorldCat member libraries worldwide
This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. Topics include nonparametric statistics, a section on pvalues in hypothetical testing, coverage of residual analysis, and more material on quality control and experiment design. Provides chapter introductions, including interesting historical information
29 editions published between 1972 and 2000 in English and held by 853 WorldCat member libraries worldwide
This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. Topics include nonparametric statistics, a section on pvalues in hypothetical testing, coverage of residual analysis, and more material on quality control and experiment design. Provides chapter introductions, including interesting historical information
Forecasting and time series analysis by
Douglas C Montgomery(
Book
)
24 editions published between 1976 and 2008 in English and held by 800 WorldCat member libraries worldwide
This practical, useroriented second edition describes how to use statistical modeling and analysis methods for forecasting and prediction problems. Statistical and mathematical terms are introduced only as they are needed, and every effort has been made to keep the mathematical and statistical prerequisites to a minimum. Every technique that is introduced is illustrated by fully worked numerical examples. Not only is the coverage of traditional forecasting methods greatly expanded in this new edition, but a number of new techniques and methods are covered as well
24 editions published between 1976 and 2008 in English and held by 800 WorldCat member libraries worldwide
This practical, useroriented second edition describes how to use statistical modeling and analysis methods for forecasting and prediction problems. Statistical and mathematical terms are introduced only as they are needed, and every effort has been made to keep the mathematical and statistical prerequisites to a minimum. Every technique that is introduced is illustrated by fully worked numerical examples. Not only is the coverage of traditional forecasting methods greatly expanded in this new edition, but a number of new techniques and methods are covered as well
Operations research in production planning, scheduling, and inventory control by
Lynwood A Johnson(
Book
)
14 editions published between 1974 and 1976 in English and Spanish and held by 565 WorldCat member libraries worldwide
14 editions published between 1974 and 1976 in English and Spanish and held by 565 WorldCat member libraries worldwide
Introduction to time series analysis and forecasting by
Douglas C Montgomery(
Book
)
31 editions published between 2008 and 2016 in English and Undetermined and held by 471 WorldCat member libraries worldwide
Montgomery, Jennings, and Kulahci examine methods for modeling and analyzing time series data with a view towards drawing inferences about the data and generating forecasts that will be useful to the decision maker
31 editions published between 2008 and 2016 in English and Undetermined and held by 471 WorldCat member libraries worldwide
Montgomery, Jennings, and Kulahci examine methods for modeling and analyzing time series data with a view towards drawing inferences about the data and generating forecasts that will be useful to the decision maker
Introduction to statistical quality control by
Douglas C Montgomery(
Book
)
42 editions published between 2008 and 2013 in English and held by 347 WorldCat member libraries worldwide
42 editions published between 2008 and 2013 in English and held by 347 WorldCat member libraries worldwide
Generalized linear models : with applications in engineering and the sciences by
Raymond H Myers(
Book
)
15 editions published between 2001 and 2012 in English and held by 306 WorldCat member libraries worldwide
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."TechnometricsGeneralized 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). Main
15 editions published between 2001 and 2012 in English and held by 306 WorldCat member libraries worldwide
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."TechnometricsGeneralized 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). Main
Statistical process control in manufacturing by Statistical process control in manufacturing(
Book
)
7 editions published in 1991 in English and held by 244 WorldCat member libraries worldwide
7 editions published in 1991 in English and held by 244 WorldCat member libraries worldwide
Statistical applications in process control(
Book
)
10 editions published in 1996 in English and held by 121 WorldCat member libraries worldwide
10 editions published in 1996 in English and held by 121 WorldCat member libraries worldwide
Managing, controlling, and improving quality by
Douglas C Montgomery(
Book
)
9 editions published between 2010 and 2011 in English and held by 111 WorldCat member libraries worldwide
9 editions published between 2010 and 2011 in English and held by 111 WorldCat member libraries worldwide
Design and analysis of gauge R & R studies : making decisions with confidence intervals in random and mixed ANOVA models by
Richard K Burdick(
Book
)
9 editions published in 2005 in English and held by 109 WorldCat member libraries worldwide
This book provides a protocol for conducting gauge repeatability and reproducibility (R & R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an uptodate summary of methods used to construct confidence intervals in normalbased random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified largesample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.[Source inconnue]
9 editions published in 2005 in English and held by 109 WorldCat member libraries worldwide
This book provides a protocol for conducting gauge repeatability and reproducibility (R & R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an uptodate summary of methods used to construct confidence intervals in normalbased random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified largesample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.[Source inconnue]
America can compete by
James Gooch(
Book
)
1 edition published in 1987 in English and held by 59 WorldCat member libraries worldwide
1 edition published in 1987 in English and held by 59 WorldCat member libraries worldwide
Production planning, scheduling, and inventory control: concepts, techniques, and systems by
Douglas C Montgomery(
Book
)
4 editions published in 1974 in English and held by 55 WorldCat member libraries worldwide
4 editions published in 1974 in English and held by 55 WorldCat member libraries worldwide
Solutions manual to accompany Introduction to time series analysis and forecasting by
Douglas C Montgomery(
Book
)
6 editions published in 2009 in English and held by 41 WorldCat member libraries worldwide
6 editions published in 2009 in English and held by 41 WorldCat member libraries worldwide
Solutions manual to accompany Introduction to linear regression analysis by
Anne G Ryan(
Book
)
13 editions published between 2003 and 2014 in English and Undetermined and held by 17 WorldCat member libraries worldwide
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model
13 editions published between 2003 and 2014 in English and Undetermined and held by 17 WorldCat member libraries worldwide
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model
more
fewer
Audience Level
0 

1  
Kids  General  Special 
Related Identities
 Runger, George C. Author Creator
 Peck, Elizabeth A. 1953 Contributor
 Vining, G. Geoffrey 1954 Contributor
 Johnson, Lynwood A. Author
 Myers, Raymond H. Author Contributor
 Hines, William W. Author
 Hubele, Norma Faris 1953 Editor
 Keats, J. Bert (John Bert) 1936 Other Editor
 Jennings, Cheryl L.
 Kulahci, Murat
Associated Subjects
Analysis of variance Business planning Competition, International Confidence intervals Educational change Educational leadership Engineering EngineeringStatistical methods Experimental design Experimental designStatistical methods Forecasting Industrial management International Business Machines Corporation Inventory control Inventory controlMathematical models Japan Linear models (Statistics) Mathematical statistics Mathematics Operations research Probabilities Process control Process controlStatistical methods Production managementMathematical models Production planning Production scheduling Quality assuranceManagement Quality control Quality controlStatistical methods Regression analysis Response surfaces (Statistics) Sales forecasting School management and organization Statistics Timeseries analysis United States Variables (Mathematics)