# Reliability, sensitivity¶

## Central dispersion¶

## Reliability¶

- Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
- Axial stressed beam : comparing different methods to estimate a probability
- Estimate a flooding probability
- Estimate a probability with Monte Carlo
- Estimate a probability with Latin Hypercube Sampling
- Probability estimation with importance sampling simulation on cantilever beam example
- Probability estimation: directional simulation
- Estimate a probability using randomized QMC
- Parametrization of a simulation algorithm
- Exploitation of simulation algorithm results
- Estimate a probability with FORM
- Strong Maximum Test design point validation
- Post analytical importance sampling
- System events: unions or intersections of events
- Event manipulation

## Reliabiliy: processes¶

## Sensitivity analysis¶

## Design of experiments¶

- Create a Monte Carlo design of experiments
- Create a composite design of experiments
- Create a Gauss product design
- Generate low discrepancy sequences
- Deterministic design of experiments
- Probabilistic design of experiments
- Mixed deterministic and probabilistic design of experiments
- Optimal LHS designs
- Create a design of experiments with discrete and continuous variables