Engineering Data Analysis with MATLAB®
Autor Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiquien Limba Engleză Paperback – 30 dec 2024
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 439.22 lei 3-5 săpt. | |
| CRC Press – 30 dec 2024 | 439.22 lei 3-5 săpt. | |
| Hardback (1) | 866.99 lei 3-5 săpt. | |
| CRC Press – 30 dec 2024 | 866.99 lei 3-5 săpt. |
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Specificații
ISBN-13: 9781032507712
ISBN-10: 1032507713
Pagini: 902
Ilustrații: 604
Dimensiuni: 178 x 254 x 52 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1032507713
Pagini: 902
Ilustrații: 604
Dimensiuni: 178 x 254 x 52 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Public țintă
AS/A2, Adult education, and Undergraduate CoreCuprins
1. Getting Started. 2. Data Types and Visualization. 3. Random Variable and Probability Distribution. 4. Discrete Probability Distribution. 5. Continuous Probability Distribution. 6. Descriptive Statistics. 7. Inferential Statistics. 8. Parametric Tests. 9. Non-Parametric Testing. 10. Correlation. 11. Regression.
Notă biografică
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.
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.
Descriere
This uses MATLAB® for data analysis and statistics, offering a broad review of computational data analysis, in particular algebra, trigonometry, regression modeling, correlation, and graphical representation of results, covering both basic and more complex material, with a large number of worked examples and practice exercises.