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 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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.