Engineering Data Analysis with MATLAB®

Texte du rabat

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.

Contenu

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.