2.1. Random variable modelisation

  • 2.1.1. The probability distributions
    • 2.1.1.1. Uniform Law
    • 2.1.1.2. Log Uniform Law
    • 2.1.1.3. Triangular Law
    • 2.1.1.4. LogTriangular Law
    • 2.1.1.5. Normal law
    • 2.1.1.6. LogNormal law
    • 2.1.1.7. Trapezium law
    • 2.1.1.8. UniformByParts law
    • 2.1.1.9. Exponential law
    • 2.1.1.10. Cauchy law
    • 2.1.1.11. GumbelMax law
    • 2.1.1.12. Weibull law
    • 2.1.1.13. Beta law
    • 2.1.1.14. GenPareto law
    • 2.1.1.15. Gamma law
    • 2.1.1.16. InvGamma law
    • 2.1.1.17. Student Law
    • 2.1.1.18. Generalized normal law
    • 2.1.1.19. Composing law

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Methodology

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Contents:

  • 1. Glossary
  • 2. Basic statistical elements
    • 2.1. Random variable modelisation
    • 2.2. Statistical treatments and operations
    • 2.3. Combining these aspects: performing PCA
  • 3. The Sampler module
  • 4. Generating Surrogate Models
  • 5. Sensitivity analysis
  • 6. Dealing with optimisation issues
  • 7. The Calibration module
  • 8. The Uncertainty modeler module

Related Topics

  • Documentation overview
    • 2. Basic statistical elements
      • Previous: 2. Basic statistical elements
      • Next: 2.1.1. The probability distributions
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