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Paul Liautaud
Paul Liautaud
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Python HEC
  • Chapter 0 - Preliminaries
  • Chapter 1 - Starter & Data Structures
  • Chapter 2 - Numpy & Plots
  • Chapter 3 - Integration
  • Chapter 4 - Zeros of Functions
  • Chapter 5 - Linear Algebra
  • Chapter 6 - Linear Algebra 2
  • Chapter 7 - Random Variables & Simulations
  • Chapter 8 - Random Variables & Inversion Method
  • Chapter 9 - Random Variables with Density & Inversion Method
  • Chapter 10 - Univariate Statistics
  • Chapter 11 - Bivariate Statistics & Regression
  • Chapter 12 - Monte Carlo Method
  • Chapter 13 - Multivariate Functions
  • Contents

Chapter 11 - Bivariate Statistics & Regression


Group A & B: run or download and see the corresponding course

⚠️ In case you directly run it on the net, do save your work locally on your machines, otherwise it will be lost!


Notions:

  • statistics (in $\mathbb R^2$)
  • mean squares
  • linear algebra and notion of pseudo-inverse
Python Simulations Statistics Probabilities Mean Squares
Previous
Chapter 10 - Univariate Statistics
Next
Chapter 12 - Monte Carlo Method

Last updated on Jan 2, 2023

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