Out of Sample Fusion: A Monte Carlo Method

摘要

Out of sample fusion is a computational method where real and independent computer generated data are fused. The method hinges on a density ratio model whereby the distributions of the real and the generated data are related. The method is applied in the interval estimation of very small binomial proportions from moderately large samples.