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Civil and environmental engineers need an understanding ofmathematical statistics and probability theory to deal with thevariability that affects engineers' structures, soilpressures, river flows and the like. Students, too, need to get togrips with these rather difficult concepts.
This book, written by engineers for engineers, tackles the subject in a clear, up-to-date manner using aprocess-orientated approach. It introduces the subjects ofmathematical statistics and probability theory, and then addressesmodel estimation and testing, regression and multivariate methods, analysis of extreme events, simulation techniques, risk andreliability, and economic decision making.
325 examples and case studies from European and Americanpractice are included and each chapter features realistic problemsto be solved.
For the second edition new sections have been added on MonteCarlo Markov chain modeling with details of practical Gibbssampling, sensitivity analysis and aleatory and epistemicuncertainties, and copulas. Throughout, the text has been revisedand modernized.
This book, written by engineers for engineers, tackles the subject in a clear, up-to-date manner using aprocess-orientated approach. It introduces the subjects ofmathematical statistics and probability theory, and then addressesmodel estimation and testing, regression and multivariate methods, analysis of extreme events, simulation techniques, risk andreliability, and economic decision making.
325 examples and case studies from European and Americanpractice are included and each chapter features realistic problemsto be solved.
For the second edition new sections have been added on MonteCarlo Markov chain modeling with details of practical Gibbssampling, sensitivity analysis and aleatory and epistemicuncertainties, and copulas. Throughout, the text has been revisedand modernized.
