Articles liés à Statistics in Civil Engineering V 1
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Synopsis
Statistical methods for the civil engineer. Practical examples clearly explain the underlying mathematical concepts. Readers learn to write their own programs and learn about useful commercial software.Offers examples based on real applications.-- Applies statistical techniques to civil engineering practice.
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Présentation de l'éditeur
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.
Revue de presse
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)
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