Engineering Data Analysis with MATLAB®
Language: English
Published by Taylor and Francis Ltd, GB, 2024
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 140.12
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Add to basketItem description from seller
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB® to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB® applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers.
Seller Inventory # LU-9781032507712
- Title
- Engineering Data Analysis with MATLAB®
- Author
- Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiqui
- Publisher
- Taylor and Francis Ltd, GB
- Publication year
- 2024
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1032507713
- ISBN 13
- 9781032507712
- Item weight
- 1,620 grams
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB® to integrate several approaches to data analysis and statistics.
The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB® applications and includes practice exercises, ensuring a comprehensive understanding of the material.
With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Tanvir Mustafy is a distinguished figure in the field of structural engineering, renowned for his expertise in complex finite element modeling at the micro level of structures, injury biomechanics, machine learning, and analytic mechanics. With a rich academic and research background, Dr. Mustafy has made significant contributions to the advancement of structural engineering. He holds a master of science (MSc) degree in structural engineering from the University of Alberta, Canada, and a bachelor of science (BSc) degree from the Bangladesh University of Engineering and Technology (BUET) in Dhaka, Bangladesh. Throughout his career, Dr. Tanvir Mustafy has consistently demonstrated a passion for research and a commitment to pushing the boundaries of structural engineering. His work continues to inspire and shape the future of the field, making him a respected authority in the academic and scientific community.
Dr. Tauhid Rahman earned his PhD in environmental engineering from Tohoku University, Japan, in 2009. He did his MSc in environmental engineering, land, and water engineering from KTH, Sweden, and his BSc in civil engineering from Bangladesh University of Engineering and Technology, Bangladesh. He is currently a professor in the CE Department of MIST. His research interests are water quality modeling, land use change detection, climate change, water insecurity, micro-climate effects, etc.
Nafisa Siddiqui is an accomplished educator with a bachelor of science in mathematics from the University of Texas at Austin, USA. She has served as a mathematics teaching assistant at Texas A&M University Kingsville and the University of Texas at Tyler, demonstrating her dedication to facilitating mathematical learning. Nafisa’s commitment to education and her strong academic background make her a valuable asset in the field of mathematics.
"About the title" may belong to another edition of this title.
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