Abstract:
The efficiency of discrete stochastic consistent estimators (the weighted uniform sampling and estimator with a correcting multiplier) of the Monte Carlo method is investigated. Confidence intervals and upper bounds on the variances are obtained, and the computational cost of the corresponding discrete stochastic numerical scheme is estimated.
Key words:standard Monte Carlo method, consistent estimators, weighted uniform sampling technique, Monte Carlo method with a correcting multiplier, bias, variance, confidence interval, computational cost, stochastic test system of functions.