Statistical Analysis for Civil Engineers
Mathematical Theory and Applied Experiment Design
Series: Woodhead Publishing Series in Civil and Structural Engineering;
- Publisher's listprice EUR 225.99
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95 864 Ft (91 299 Ft + 5% VAT)
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- Discount 10% (cc. 9 586 Ft off)
- Discounted price 86 278 Ft (82 169 Ft + 5% VAT)
95 864 Ft
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Product details:
- Publisher Woodhead Publishing
- Date of Publication 9 September 2024
- ISBN 9780443273629
- Binding Paperback
- No. of pages434 pages
- Size 228x152 mm
- Weight 1000 g
- Language English 644
Categories
Long description:
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.
Table of Contents:
1. Random variables and discrete probability distributions
2. Continuous and normal probability distributions with data representation
3. Central limit theorem and confidence interval
4. T-, Chi-square, and F-distributions and hypothesis testing
5. Analysis of experiments for civil engineers involving single factor
6. Correlation: simple, and multiple regression analysis
7. Meta-analysis in civil engineering
8. Introduction to Monte Carlo simulation in civil engineering
Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design
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