This paper presents the principle of Monte Carlo optimize calculation of credit risk VaR for loanportfolio using Importance Sampling technique. Based on Matlab
The application value of mathematics classification methods would be decreased because of the different result from those different classification methods been
This paper discuss a method to solve the non-sampling error arising from incomplete sampling frame and provide two estimators under this condition, their means and variances.