Elsevier Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design (Woodhead Publishing Series in Civil and Structural Engineering)

Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design is a well-researched and topically organized reference book that guides its readers, both in academia and industry, to recognize how to describe unpredictable events in a quantitative way and to learn how these events can be incorporated into practical engineering analysis that facilitates data-driven problem solving and optimization-based decision-making. Written by experts in the field with a proven track record as educators and practicing consultancy specialists, this book has been developed in such a manner that it advances understanding of the mathematical theory underlying analytical methodology gradually. It also supports practical application through relevant worked examples in a variety of civil engineering branches, notably structural, materials, transportation, and geotechnical engineering. Through all stages of data analysis, numerical modeling and simulation, and implementation, the volume emphasizes the need to change the current perception with respect to the use of modern statistical techniques in the scientific as well as practical spheres of civil engineering. Describes and applies numerical modeling for various civil engineering disciplines Uses MINITAB as a programming language to help readers analyze the results of the worked examples included Features exercises at the end of each chapter to evaluate acquired knowledge