Refined descriptive sampling: A better approach to Monte Carlo simulation

Descriptive sampling could lead to biased results and require prior knowledge of the sample size. This paper analyses the conditions under which bias can occur and proposes an approach which is mainly concerned with a block of regular samples of prime size. This approach reduces the sampling bias and eliminates the problem of descriptive sampling related to the sample size. We evaluate performance measures of a problem whose response through simulation is a wave with regular period.