Essentials of Math Modeling - Introduction to Regression and Statistical Ideas

Essentials of Math Modeling - Introduction to Regression and Statistical Ideas

Society for Industrial and Applied Mathematics via YouTube Direct link

Reminders

1 of 17

1 of 17

Reminders

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Classroom Contents

Essentials of Math Modeling - Introduction to Regression and Statistical Ideas

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  1. 1 Reminders
  2. 2 Linear Regression
  3. 3 Linear Model
  4. 4 Least Squares Estimation
  5. 5 MATLAB Examples
  6. 6 How Do We Measure How Good Our Line Is?
  7. 7 How Much Variation is Explained...
  8. 8 Useful Example to Keep in Mind
  9. 9 Data Looking Non Linear?
  10. 10 Data Transformations
  11. 11 Sensitivity Analysis
  12. 12 Case Study: SIR Models
  13. 13 Absolute and Relative Error
  14. 14 Problem Solving Session: Recap From Session 5
  15. 15 Problem Solving Session: Overview of This Session
  16. 16 Problem Solving Session: Sample1
  17. 17 Problem Solving Session: Sample2

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