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| adequadExp | test the adequation of a random variable to the exponential distribution |
| calcErrorDV | compute the bias, variance of the De Vielder approximation |
| calcErrorNonParam | compute the bias, variance of the non parametric estimator |
| calcErrorParam | compute the bias, variance of the non parametric estimator |
| DV | implements the De Vielder approximation |
| estimDV | compute the De Vielder estimator |
| estimNonParam | compute the parametric estimation |
| estimParam | compute the parametric estimation |
| histo | plot the histogram of the variable T |
| KM | plots a survival function with a Kaplan-Meier variant |
| m1 | the first-order moment of T when q(x)=exp(-mu x) |
| m2 | the second-order moment of T when q(x)=exp(-mu x) |
| mainSimul | simulate many times the first model and calculate the risk constant |
| mainSimul2 | simulate many times the second model |
| makeSample | create a sample of the first model stored in a file |
| makeSample2 | create a sample of the second model stored in a file |
| mom1 | the first-order empirical moment of the vector X |
| mom2 | the second-order empirical moment of the vector X |
| simul | simulate the first model of the hospital risk |
| simul2 | simulate the second model of the hospital risk |
| Table | make an array of bias, variance and R for different distribution and estimators |