Probability, Statistics, and Decision for Civil Engineers
Nonfiction, Science & Nature, Mathematics, Statistics
| Author: | Jack R Benjamin, PhD, C. Allin Cornell, PhD | ISBN: | 9780486796093 |
| Publisher: | Dover Publications | Publication: | July 16, 2014 |
| Imprint: | Dover Publications | Language: | English |
| Author: | Jack R Benjamin, PhD, C. Allin Cornell, PhD |
| ISBN: | 9780486796093 |
| Publisher: | Dover Publications |
| Publication: | July 16, 2014 |
| Imprint: | Dover Publications |
| Language: | English |
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.
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.
