Probability, Statistics, and Decision for Civil Engineers

Jack Benjamin

ISBN 10: 0486780724 / ISBN 13: 9780486780726

Published by Dover Publications Inc., 2014

About this Item

Designed as a primary text for civil engineering courses, as a supplementary text for courses in other areas, or for self-study by practicing engineers, this text covers the development of decision theory and the applications of probability within the field. Extensive use of examples and illustrations helps readers develop an in-depth appreciation for the theory's applications, which include strength of materials, soil mechanics, construction planning, and water-resource design.A focus on fundamentals includes such subjects as Bayesian statistical decision theory, subjective probability, and utility theory. This makes the material accessible to engineers trained in classical statistics and also provides a brief elementary introduction to probability. The coverage also addresses in detail the methods for analyzing engineering economic decisions in the face of uncertainty. An Appendix of tables makes this volume particularly useful as a reference text.

Seller Inventory # CIN0486780724A

Bibliographic Details

• Title: Probability, Statistics, and Decision for Civil Engineers
• Publisher: Dover Publications Inc.
• Publication Date: 2014
• Language: English
• ISBN 10: 0486780724
• ISBN 13: 9780486780726
• Binding: Paperback
• Condition: Fair

About this title

Synopsis

Designed as a primary text for civil engineering courses, as a supplementary text for courses in other areas, or for self-study by practicing engineers, this text covers the development of decision theory and the applications of probability within the field. Extensive use of examples and illustrations helps readers develop an in-depth appreciation for the theory's applications, which include strength of materials, soil mechanics, construction planning, and water-resource design.
A focus on fundamentals includes such subjects as Bayesian statistical decision theory, subjective probability, and utility theory. This makes the material accessible to engineers trained in classical statistics and also provides a brief elementary introduction to probability. The coverage also addresses in detail the methods for analyzing engineering economic decisions in the face of uncertainty. An Appendix of tables makes this volume particularly useful as a reference text.

About the Author

C. Allin Cornell (1938–2007) was Professor Emeritus of Civil and Environmental Engineering at Stanford University. He helped pioneer the field of Probabilistic Seismic Hazard Analysis (PSHA), which quantifies and predicts the risks and hazards of earthquakes.

Jack R. Benjamin (1917–98) was Professor Emeritus of Civil and Environmental Engineering at Stanford University, where he taught for 25 years.