Applied Statistics for Civil and Environmental Engineers
eBook - PDF

Applied Statistics for Civil and Environmental Engineers

  1. 736 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applied Statistics for Civil and Environmental Engineers

About 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.

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Yes, you can access Applied Statistics for Civil and Environmental Engineers by N. T. Kottegoda,R. Rosso in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Ingegneria civile. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Contents
  2. Dedication
  3. Preface to the First Edition
  4. Preface to the Second Edition
  5. Introduction
  6. 1 Preliminary Data Analysis
  7. 2 Basic Probability Concepts
  8. 3 Random Variables and Their Properties
  9. 4 Probability Distributions
  10. 5 Model Estimation and Testing
  11. 6 Methods of Regression and Multivariate Analysis
  12. 7 Frequency Analysis of Extreme Events
  13. 8 Simulation Techniques for Design
  14. 9 Risk and Reliability Analysis
  15. 10 Bayesian Decision Methods and Parameter Uncertainty
  16. Appendix A: Further mathematics
  17. Appendix B: Glossary of Symbols
  18. Appendix C: Tables of Selected Distributions
  19. Appendix D: Brief Answers to Selected Problems
  20. Appendix E: Data Lists
  21. Index