2.2. The TAttribute class

The TAttribute class (as its inherited classes, some of which are discussed here as well), is also a crucial part of any analysis performed through Uranie. It describes any variable (input, output, or internal variable such as iterator) that are passed to the other modules. It does not really contain the data, but it has the statistical information (in case methods such as computeStatistic or computeQuantile have been called, see Statistical treatments and operations

• 2.2.1. Nature of the attribute
• 2.2.2. List of variable information
• 2.2.3. Examples of use of the class TAttribute
• 2.2.4. Adding TAttribute when data are already available
• 2.2.5. Introducing the TStochasticAttribute classes
  • 2.2.5.1. Uniform Law
  • 2.2.5.2. Log Uniform Law
  • 2.2.5.3. Triangular Law
  • 2.2.5.4. LogTriangular Law
  • 2.2.5.5. Normal law
  • 2.2.5.6. LogNormal law
  • 2.2.5.7. Trapezium law
  • 2.2.5.8. UniformByParts law
  • 2.2.5.9. Exponential law
  • 2.2.5.10. Cauchy law
  • 2.2.5.11. GumbelMax law
  • 2.2.5.12. Weibull law
  • 2.2.5.13. Beta law
  • 2.2.5.14. GenPareto law
  • 2.2.5.15. Gamma law
  • 2.2.5.16. InvGamma law
  • 2.2.5.17. Student Law
  • 2.2.5.18. Generalized normal law
  • 2.2.5.19. Composing law