Statistical Quality Assurance Methods for Engineers

ISBN-10: 0471159379

ISBN-13: 9780471159377

Edition: 1999

List price: $185.95
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Description: Meeting a need for a solid statistical quality assurance text that places the material into a realistic context, this volume tells a coherent story about statistics and quality assurance. The text assumes previous completion of an engineering course.

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Book details

List price: $185.95
Copyright year: 1999
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/7/1998
Binding: Hardcover
Pages: 576
Size: 7.75" wide x 9.75" long x 1.25" tall
Weight: 2.596
Language: English

John Marcus Jobe currently teaches in the Department of Decision Sciences and Management Information Systems at the University of Ohio, where he teaches courses in business statistics, regression, statistical quality control, design of experiments in business, multivariate methods in business, and industrial statistics. Research focuses on quality improvement, regression, and application of designed experiments. Dr. Jobe holds a bachelor's degree from Central State University (1977), a masters of science degree from Oklahoma State University (1979), and a Ph.D. from Iowa State University (1984). He is the recipient of many distinguished research and teaching honors, including being named a Senior Fulbright Scholar, Kiev State University of Trade and Economics, Kiev, Ukraine, 1996-97. He also received the Outstanding Teaching Award, Miami University, All University Award in1995, and a NASA Research Fellowship in 1991 and 1992. In 1986 and 1987, he was recognized by the Air-Force Office of Scientific Research (AFOSR). He is the author of many papers and research articles, and served as co-author on another text with Steve Vardeman, STATISTICAL QUALITY IMPROVEMENT METHODS FOR ENGINEERS, published by John Wiley & Sons, 1998.

Simple Quality Assurance Tools
Process Monitoring
Basics
Process Monitoring
Additional Methods
Process Characterization and Capability Analysis
Experimental Design and Analysis for Process Improvement
Basics
Experimental Design and Analysis for Process Improvement
Advanced Topics
Sampling Inspection
The TQM Environment
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