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

Data Transformations

10 of 17

10 of 17

Data Transformations

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Essentials of Math Modeling - Introduction to Regression and Statistical Ideas

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.