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## Mathematical Theory and Applied Experiment Design

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Request a sales quote*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.### Hussam K. Risan

### Adel A. Al‐Azzawi

### Faiq M.S. Al-Zwainy

- 1st Edition - September 2, 2024
- Authors: Hussam K. Risan, Adel A. Al‐Azzawi, Faiq M.S. Al-Zwainy
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 6 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 6 3 - 6

Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design is a well-researched and topically organized reference book that guides its reader… Read more

LIMITED OFFER

Immediately download your ebook while waiting for your print delivery. No promo code needed.

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

Postgraduate students, researchers, and academics in various disciplines of civil engineering, including structural, materials, transportation, and geotechnical engineering.

- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- 1. Random variables and discrete probability distributions
- 1.1. Introduction
- 1.2. Key features in experimentation
- 1.3. Counting
- 1.4. Theory of probability
- 1.5. Random experiment
- 1.6. Random variable
- 1.7. Probability mass function
- 1.8. Ordinary and central moments
- 1.9. Introduction to MINITAB
- 1.10. Summary
- 1.11. Review questions
- 1.12. Answers
- 2. Continuous and normal probability distributions with data representation
- 2.1. Introduction
- 2.2. Continuous random variable
- 2.3. Probability density function
- 2.4. Normal probability density function
- 2.5. Properties of sample data set
- 2.6. Mean, median, and mode for probability distributions
- 2.7. Graphical representation of data
- 2.8. Applications with MINITAB
- 2.9. Summary
- 2.10. Review questions
- 2.11. Answers
- 3. Central limit theorem and confidence interval
- 3.1. Introduction
- 3.2. Population and random samples
- 3.3. Joint probability density functions
- 3.4. Sampling distribution of the mean
- 3.5. Point estimation
- 3.6. Central limit theorem
- 3.7. Sampling distribution of two independent populations
- 3.8. Estimation of population parameters using moments
- 3.9. Estimation of the population using the method of maximum likelihood
- 3.10. Confidence intervals
- 3.11. Applications with MINITAB
- 3.12. Summary
- 3.13. Review questions
- 3.14. Answers
- 4. T-, Chi-square, and F-distributions and hypothesis testing
- 4.1. Introduction
- 4.2. The T-distribution
- 4.3. Chi-square distribution
- 4.4. F-distribution
- 4.5. Hypothesis testing
- 4.6. Quick test for the two-sample location problem
- 4.7. Applications with MINITAB
- 4.8. Summary
- 4.9. Review questions
- 4.10. Answers
- 5. Analysis of experiments for civil engineers involving single factor
- 5.1. Chapter scope
- 5.2. Introduction
- 5.3. Analysis by comparison of all possible pairs means
- 5.4. The graphical approach to ANOVA
- 5.5. Definitions
- 5.6. ANOVA concept
- 5.7. ANOVA assumptions and validation
- 5.8. Experiment involving one factor
- 5.9. Different methods for comparing the treatment means
- 5.10. ANOVA for unbalanced experiments
- 5.11. Sample size for one-way ANOVA
- 5.12. Randomization and blocking
- 5.13. MINITAB applications
- 5.14. Response transformations
- 5.15. Summary
- 5.16. Review questions
- 5.17. Answers
- 6. Correlation: simple and multiple regression analysis
- 6.1. Introduction
- 6.2. Simple correlation
- 6.3. Simple regression
- 6.4. Multiple regression model
- 6.5. MINITAB applications
- 6.6. Summary
- 6.7. Review questions
- 6.8. Answers
- 7. Meta-analysis in civil engineering
- 7.1. Introduction
- 7.2. Definitions
- 7.3. Forest plots
- 7.4. Effect sizes based on means
- 7.5. Response ratios
- 7.6. Fixed-effect model
- 7.7. Random-effects model
- 7.8. Summary
- 7.9. Review questions
- 7.10. Answers
- 8. Introduction to Monte Carlo simulation in civil engineering
- 8.1. Introduction
- 8.2. Random number
- 8.3. Random walk
- 8.4. Probabilistic approach
- 8.5. Probabilistic approach: mathematical and numerical tools
- 8.6. Summary
- 8.7. Review questions
- 8.8. Answers
- Index

- No. of pages: 434
- Language: English
- Edition: 1
- Published: September 2, 2024
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780443273629
- eBook ISBN: 9780443273636

HR

Dr. Risan received his PhD from Al-Nahrain University (Iraq) in 2013 and has been an Assistant Professor at the same institution since 2015. He teaches several courses for undergraduate and postgraduate programs in the fields of structural engineering, design of civil engineering experiments, and construction project management. He actively participates as a reviewer for many scientific journals and his research activity focuses on structural analysis, structural dynamics, structural stability, finite element modeling, and various civil engineering technologies.

Affiliations and expertise

Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad, IraqAA

Prof. Al-Azzawi has been teaching at Al-Nahrain University (Iraq) for over 25 years, both for undergraduate and postgraduate programs in the fields of structural engineering, geotechnical engineering, applied statistics, and construction project management. He is an active editor and reviewer for many scientific journals and has received local recognition awards for his publications. The research areas he focuses on are structural analysis and computational structural mechanics.

Affiliations and expertise

Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad, IraqFA

Prof. Al-Zwainy received his PhD from Baghdad University (Iraq) in 2009. After a stint as an independent consultant in industry, when he worked on projects with local government as well as international firms, he has since held academic positions both at ISRA University (Jordan) and Al-Nahrain University (Iraq). He teaches courses for undergraduate and postgraduate programs in the fields of applied statistics and construction project management. He is an active editor and reviewer for the KSCE Journal of Civil Engineering (Springer) and the International Journal of Engineering Sciences and Research Technology (IJESRT, open access); he is also a member of the editorial board of Civil Engineering and Urban Planning: An International Journal (AIRCC Publishing Corporation) and a member of the Project Management Institute.

Affiliations and expertise

Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad, IraqRead *Statistical Analysis for Civil Engineers* on ScienceDirect