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