DV                      implements the De Vielder approximation
KM                      plots a survival function with a Kaplan-Meier
                        variant
Table                   make an array of bias, variance and R for
                        different distribution and estimators
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
estimDV                 compute the De Vielder estimator
estimNonParam           compute the parametric estimation
estimParam              compute the parametric estimation
histo                   plot the histogram of the variable T
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
