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Best practice in civil engineering involves the use of modern statistical techniques, many of which are only described in the research literature or rather specialist books on specific themes. This book brings these techniques together in the context of civil engineering. The emphasis is on modelling and topics include: random number generation; reliability and quality assurance; univariate and multivariate extreme value distributions; regression methods; Bayesian methods; time series analysis; Markov chains and stochastic dynamic programming; variograms and kriging; spectral analysis and wavelets; and design of experiments.
The methods are introduced with practical examples, drawn from research and consultancy experience, and the underlying mathematical concepts are clearly explained in an informal manner. Readers will be drawn from a wide range of backgrounds and will include civil engineering students at intermediate and advanced levels as well as applied statisticians and engineers in civil engineering consulting practices.
The methods are introduced with practical examples, drawn from research and consultancy experience, and the underlying mathematical concepts are clearly explained in an informal manner. Readers will be drawn from a wide range of backgrounds and will include civil engineering students at intermediate and advanced levels as well as applied statisticians and engineers in civil engineering consulting practices.
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If there were ever any doubts about the importance of statistics to civil engineering, this book should put that to rest... useful to civil engineering professionals and consulting statisticians as a reference...I appreciate the author's breadth of coverage and his clear writing style. (American Statistical Association Journal)
Synopsis:
Best practice in engineering involves the use of modern statistical techniques. This volume brings these techniques together, and the emphasis is on modelling. The topics include: random number generation, reliability and quality assurance; univariate and multivariate extreme value distributions; regression methods; Bayesian methods; time series analysis; Markov chains and stochastic dynamic programming; variograms and kriging; spectral analysis and wavelets; and design of experiments. The methods are introduced with practical examples, drawn from research and consultancy experience, and the underlying mathematical concepts are clearly explained in an informal manner. Readers are given enough information to write their own programs, but references to useful commercial software are also provided. A brief summary of a typical first course in statistics is included as an appendix.
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- PublisherHodder Education
- Publication date1997
- ISBN 10 0340676604
- ISBN 13 9780340676608
- BindingPaperback
- Number of pages440
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Statistics in Civil Engineering
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Book Description Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780340676608. Seller Inventory # 8972938
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Statistics in Civil Engineering (Arnold Applications of Statistics Series) by Andrew Metcalfe
Published by
Hodder Education Publishers
(1997)
ISBN 10: 0340676604
ISBN 13: 9780340676608
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Softcover
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Book Description Softcover. Condition: Very Good. Immediate dispatch from Somerset. Nice older book in great condition. Pages in excellent condition. No notes or highlighting. See images. Fantastic book. About the book >.>.> Civil engineers have always had to deal with uncertainty, but they are now expected to do so in more accountable ways. Probability theory provides a mathematical description of random variation, and enables us to make realistic risk assessments. Statistics is the analysis of data, and the subsequent fitting of probability models. Computers continue to push back the limits imposed by the arithmetic and, to some extent, the algebraic manipulation involved. This greatly increases the scope of feasible analyses. The range of applications within civil engineering is vast, and I have aimed to show this through practical examples. The book is structured around the main application areas, in the following way. Seller Inventory # Batch-FM241-VG-6368
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Stock Image
Statistics in Civil Engineering (Arnold Applications of Statistics Series)
Published by
Hodder Education Publishers
(1997)
ISBN 10: 0340676604
ISBN 13: 9780340676608
Used
Paperback
Quantity: 1
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Book Description Paperback. Condition: Like New. Like New. book. Seller Inventory # D7F5-8-M-0340676604-5
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