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This updated edition retains its introduction to applied
fundamental statistics, probability, reliability, and decision
theory as these pertain to problems in Civil Engineering. The new
edition adds an expanded treatment of systems reliability, Bayesian
methods, and spatial variabililty, along with additional example
problems throughout. The book provides readers with the tools
needed to determine the probability of failure, and when multiplied
by the consequences of failure, illustrates how to assess the risk
of civil engineering problems. Presenting methods for quantifying
uncertainty that exists in engineering analysis and design, with an
emphasis on fostering more accurate analysis and design, the text
is ideal for students and practitioners of a range of civil
engineering disciplines. Expands on the class-tested pedagogy from
the first edition with more material and more examples; Broadens
understanding with simulations coded both in Matlab and in R;
Features new chapters on spatial variability and Bayesian methods;
Emphasizes techniques for estimating the influence of uncertainty
on the probability of failure
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