Wileyplus Stand-alone To Accompany Engineering Statistics

DOUGLAS C. MONTGOMERY

The trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques. You'll appreciate the significant updates in the Sixth Edition including: In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects. New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data. New developments in the area of measurement systems analysis New features of Minitab V15 incorporated into the text Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material

Statistical Quality Control, International Student Version: A Modern Introduction

Business & Money

Management & Leadership

John Wiley&Sons, Inc.

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

Solutions Manual Design and Analysis of Experiments

Engineering & Transportation

Engineering

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

William W. Hines

John Wiley and Sons Ltd.

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)

Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental design: Design-Expert(r) and Minitab(r). Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You'll also learn how to use statistically designed experiments to: * Obtain information for characterization and optimization of systems * Improve manufacturing processes * Design and develop new processes and products * Evaluate material alternatives in product design * Improve the field performance, reliability, and manufacturing aspects of products * Learn how to conduct experiments effectively and efficiently Other important textbook features: * Student version of Design-Expert(r) software is available. * Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.

Design and analysis of experiments

Politics & Social Sciences

Social Sciences

About the Author Preface Chapter 1 : Quality Improvement in the Modern Business Environment Part 1 : Statistical Methods Useful in Quality Control and Improvement Chapter 2 : Modeling Process Quality Chapter 3 : Inferences about Process Quality Part 2 : Basic Methods of Statistical Process Control and Capability Analysis Chapter 4 : Methods and Philosophy of Statistical Process Control Chapter 5 : Control Charts for Variables Chapter 6 : Control Charts for Attributes Chapter 7 : Process and Measurement System Capability Analysis Part 3 : Other Statistical Process-Monitoring and Control Techniques Chapter 8 : Cumulative Sum and Exponentially Weighted Moving Average Control Charts Chapter 9 : Other Univariate Statistical Process Monitoring and Control Techniques Chapter 10 : Multivariate Process Monitoring and Control Chapter 11 : Engineering Process Control and SPC Part 4 : Process Design and Improvement with Designed Experiments Chapter 12 : Factorial and Fractional Factorial Experiments for Process Design and Improvement Chapter 13 : Process Optimization with Designed Experiments Part 5 : Acceptance Sampling Chapter 14 : Lot-by-Lot Acceptance Sampling for Attributes Chapter 15 : Other Acceptance-Sampling Techniques Appendix A : Summary of Common Probability Distributions Often Used in Statistical Quality Control B : Cumulative Standard Normal Distribution C : Percentage Points of the X2 Distribution D : Percentage Points of the t Distribution E : Percentage Points of the F Distribution F : Factors for Constructing Variables Control Charts G : Factors for Two-Sided Normal Tolerance H : Factors for One-Sided Normal Tolerance Bibliography Answers to Selected Exercises Index

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

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.

Wileyplus Stand-alone To Accompany Engineering Statistics

Statistical Quality Control, International Student Version: A Modern Introduction

Design and Analysis of Experiments, 7E International Student Version

Applied Statistics and Probability for Engineers

Solutions Manual Design and Analysis of Experiments

Probability and Statistics in Engineering

Applied Statistics and Probability for Engineers: Textbook and Student Workbook

Introduction to Statistical Quality Control

Design and analysis of experiments

Introduction to Statistical Quality Control