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Engineering Data Analysis with MATLAB® - Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiqui

Engineering Data Analysis with MATLAB®

Buch | Softcover
750 Seiten
2024
CRC Press (Verlag)
978-1-032-50771-2 (ISBN)
CHF 125,65 inkl. MwSt
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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.
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.

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.

Tanvir Mustafy is a professor in the Civil Engineering Department of the Military Institute of Science and Technology. He obtained his PhD in Structural Dynamics from the University of Montreal, Canada. Tauhid Rahman is a professor in the Civil Engineering Department of the Military Institute of Science and Technology. He obtained his PhD in Environmental Engineering from Tohoku University, Japan. Nafisa Siddiqui has served as a Mathematics Teaching Assistant at Texas A&M University–Kingsville and the University of Texas at Tyler.

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.

Erscheint lt. Verlag 27.12.2024
Zusatzinfo 355 Tables, black and white; 297 Line drawings, black and white; 5 Halftones, black and white; 302 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Technik Maschinenbau
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-032-50771-3 / 1032507713
ISBN-13 978-1-032-50771-2 / 9781032507712
Zustand Neuware
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