Engineering Statistics - Hardcover

Über die Autorin bzw. den Autor

Douglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees in engineering from Virginia Polytechnic Institute, the editor of Quality and Reliability Engineering International and a former editor of the Journal of Quality Technology. George C. Runger, Ph.D., is a Professor in the department of Industrial Engineering at Arizona State University. His research is on data mining, real-time monitoring and control, and other data-analysis methods with a focus on large, complex, multivariate data streams. His work is funded by grants from the National Science Foundation and corporations. In addition to academic work, he was a senior engineer at IBM. He holds degrees in industrial engineering and statistics. Norma Faris Hubele, Professor of Engineering and Statistics at Arizona State University, and Director of Strategic Initiatives for the Ira A. Fulton School of Engineering, has taught and done research at the University level and with industry for over 20 years. Her cutting edge educational research has been supported by the National Science Foundation and is reflected in this textbook.

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The statistics every engineer should know

Statistics is essential for solving many types of engineeringproblems. Focusing on the statistical techniques most often used inengineering practice, Montgomery, Runger, and Hubele sEngineering Statistics, Fourth Edition presents a wide rangeof techniques and methods that you ll be able to call upon inyour professional capacities.

Through its three previous editions, EngineeringStatistics set the standard for statistical texts servingengineers. This Fourth Edition follows the classic swinning approach, and provides a host of new features andimprovements that you ll appreciate. Developed initially withsponsorship from the National Science Foundation, this revisioncovers all the major aspects of engineering statisticsincluding:

• Descriptive statistics
• Probability and probability distributions
• Statistical tests and confidence intervals for one and twosamples
• Building regression models
• Designing and analyzing engineering experiments
• Statistical quality control 

The new edition also features numerous enhancements that helpyou grasp and absorb the material. Emphasizing data analysis andstatistical inference, the text makes use of new, cross–sections ofreal engineering situations and real data sets and takes astep–by–step approach so that you gain insight into the underlyingstructure of the problems as you master the problem–solvingtechniques. Notes which help you interpret results are aparticularly useful feature of the revised text.

With comprehensive integration of the PC–based statisticalsoftware Minitab and online support through WileyPLUS, this newestedition of Engineering Statistics will serve as a practicalintroduction for students and a reliable reference for every stageof your engineering career.