Statistics in Engineering: A Practical Approach (Texts in Statistical Science) - Softcover

Metcalfe, Andrew

Softcover

ISBN 10: 0412492202 ISBN 13: 9780412492204

Publisher: Springer, 1994

Synopsis

Statistics in Engineering provides a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics are given in an informal way and are included for those who find that mathematical justification helps their understanding of concepts, and for anyone who needs to take the subject further The author indicates sections that can be omitted without any loss of continuity. The book is kept as simple as possible, and assumes only some familiarity with elementary calculus and matrices. The first seven chapters of the book cover a typical 40-hour statistics module taken by engineering or science students who are beginning the subject. This includes the basic ideas, relationships between variables, and the design and analysis of experiments. The final chapter looks at some important engineering situations that are not fully covered by the methods of the preceding chapters.

About this title

Review

..." It contains some very intuitive ways of explaining fundamental concepts, and is loaded with useful examples. As such, I believe it would make a helpful resource for Technometricsreaders." -Technometrics

Synopsis

The book aims to provide a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics is given in an informal way and it is made clear if it can be omitted without any loss of continuity. It is included for those who find the mathematical justification helps their understanding of concepts, and for anyone who needs to take the subject further. It is kept as simple as possible and assumes only some familiarity with elementary calculus and matrices. The first seven chapters of the book cover a typical 40-hour statistics module taken by engineering or science students who are beginning the subject. This includes the basic ideas, relationships between variables and the design and analysis of experiments. The final chapter looks at some important engineering situations which are not adequately covered by the methods of the preceding chapters. Each sub heading is the subject of many books in its own right, but it is nevertheless possible to introduce the underlying concepts and make some progress by slight extensions of the earlier material. Many practical applications do not fit exactly into a standard method.

This book should be of interest to all engineering students and research students who need knowledge of sophisticated statistics, and to quality assurance managers and operations research consultants.

Edition details

• Publisher: Springer
• Publication date: 1994
• Language: English
• ISBN 10: 0412492202
• ISBN 13: 9780412492204
• Binding: Paperback
• Edition number: 1
• Number of pages: 460