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  • Install
  • User guides
  • API
  • For developers
  • GitHub
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Section Navigation

  • About NumPy
  • Data collection
  • Non-parametric lifetime models
  • Lifetime distributions
  • Lifetime regressions
  • Cox (semiparametric proportional hazard)
  • Sampling
  • User guides

User guides#

Note

More examples will be given soon. For now, look at the API section of the documentation.

  • About NumPy

Workflow demo#

  • Data collection
  • Lifetime model estimation
  • How to choose the best parametric model ?
  • Evaluate the performance of maintenance policies
  • Creating a Run-To-Failure policy
  • Creating a preventive age replacement policy
  • Projection of the consequences
  • References

Lifetime models#

  • Non-parametric lifetime models
  • Lifetime distributions
  • Lifetime regressions
  • Cox (semiparametric proportional hazard)

Sampling#

  • Sampling
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  • Workflow demo
  • Lifetime models
  • Sampling
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