Applied Statistics for Civil and Environmental Engineers by N. T. Kottegoda - PDF free download eBook

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Brief introduction:

Civil and environmental engineers need an understanding of mathematical statistics and probability theory to deal with the variability that affects engineers structures, soil pressures, river flows and the like. Students, too, need to get to grips wi...

Details of Applied Statistics for Civil and Environmental Engineers

ISBN
9781405179171
Publication date
Age range
18+ Years
Book language
GB
Pages
736
Format
PDF, CHM, DJVU, FB2
Quality
Normal quality OCR
Dimensions
6.90 (w) x 9.70 (h) x 1.60 (d)

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Some brief overview of this book

Civil and environmental engineers need an understanding of mathematical statistics and probability theory to deal with the variability that affects engineers structures, soil pressures, river flows and the like. Students, too, need to get to grips with these rather difficult concepts.

This book, written by engineers for engineers, tackles the subject in a clear, up-to-date manner using a process-orientated approach. It introduces the subjects of mathematical statistics and probability theory, and then addresses model estimation and testing, regression and multivariate methods, analysis of extreme events, simulation techniques, risk and reliability, and economic decision making.

325 examples and case studies from European and American practice are included and each chapter features realistic problems to be solved.

For the second edition new sections have been added on Monte Carlo Markov chain modeling with details of practical Gibbs sampling, sensitivity analysis and aleatory and epistemic uncertainties, and copulas. Throughout, the text has been revised and modernized.

A few words about book's author

Nath Kottegoda has been a Visiting Professor at the Politecnico di Milano since 1990. He obtained a first-class honours degree in civil engineering from the University of London as an external student from Sri Lanka. After professional experience in structural, irrigation and water engineering, he received MSc and PhD degrees from the Department of Civil Engineering, University of Birmingham, where he subsequently lectured. He has also taught and conducted research at several universities in heory, and then addresses model estimation and testing, regression and multivariate methods, analysis of extreme events, simulation techniques, risk and reliability, and economic decision making.

325 examples and case studies from European and American practice are included and each chapter features realistic problems to be solved.

For the second edition new sections have been added on Monte Carlo Markov chain modeling with details of practical Gibbs sampling, sensitivity analysis and aleatory and epistemic uncertainties, and copulas. Throughout, the text has been revised and modernized.

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