On assessing the precision of simulations
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In this note a method is given for assessing the precision of Monte Carlo simulations of probability distributions. The method is simple, virtually cost free and gives estimates of precision not currently being used.
[1] H. Lilliefors. On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown , 1967 .
[2] R. E. Schafer,et al. Improved goodness-of-fit tests , 1971 .