Statistical Methods for Engineers
6 ratings by Goodreads
Language: English
Published by Brooks Cole, 2005
- Softcover
- Used

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Softcover
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- Title
- Statistical Methods for Engineers
- Author
- G. Geoffrey Vining
- Publisher
- Brooks Cole
- Publication year
- 2005
- Condition
- As new
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0495019402
- ISBN 13
- 9780495019404
- Item weight
- 976 grams
- Dimensions
- 20.1 centimeters width by 22.9 centimeters height by 2.8 centimeters depth
STATISTICAL METHODS FOR ENGINEERS (WITH CD-ROM) presents real engineering data and takes a truly modern approach to statistics. An engineering case study runs throughout the text and gives conceptual continuity through each chapter. The opening introduces you to the connection and the intimate link between statistical decision making and engineering.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Geoffrey Vining received his Ph.D. from Virginia Tech., Blacksburg. He is a Professor and Department Head in the Statistics Department at Virginia Tech. He also served on the faculty of the Statistics Department at the University of Florida, Gainesville, as a practicing engineer with the Faber-Castell Corporation and as an industrial consultant.
Dr. Scott Kowalski received his Ph.D. from the University of Florida, Gainesville. He works as a Technical Trainer at Minitab, Inc. where he mentors Minitab's International Partners on their training efforts and teaches statistics to corporations in the United States, Asia and Australia. Prior to joining Minitab he taught at Stetson University and University of Central Florida. Dr. Kowalski is a Senior Member of ASQ, a member of the American Statistical Association, an Associate Editor for Quality Technology and Quantitative Management, and serves on the Editorial Review Board for the Journal of Quality Technology and Quality Engineering. Along with co-author Geoffrey Vining he was awarded the 2005 Nelson Award winner for paper with the "greatest immediate impact to practitioners" by the Journal of Quality Technology.
Dr. Scott Kowalski received his Ph.D. from the University of Florida, Gainesville. He works as a Technical Trainer at Minitab, Inc. where he mentors Minitab's International Partners on their training efforts and teaches statistics to corporations in the United States, Asia and Australia. Prior to joining Minitab he taught at Stetson University and University of Central Florida. Dr. Kowalski is a Senior Member of ASQ, a member of the American Statistical Association, an Associate Editor for Quality Technology and Quantitative Management, and serves on the Editorial Review Board for the Journal of Quality Technology and Quality Engineering. Along with co-author Geoffrey Vining he was awarded the 2005 Nelson Award winner for paper with the "greatest immediate impact to practitioners" by the Journal of Quality Technology.
"About the title" may belong to another edition of this title.
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