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.

Klappentext

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.

Zusammenfassung

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.

Inhalt

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.