On assessing the precision of simulations
- 1 January 1974
- journal article
- research article
- Published by Taylor & Francis in Journal of Statistical Computation and Simulation
- Vol. 3 (1) , 67-69
- https://doi.org/10.1080/00949657408810071
Abstract
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.Keywords
This publication has 3 references indexed in Scilit:
- Improved goodness-of-fit testsBiometrika, 1971
- Inferences on the Parameters of the Weibull DistributionTechnometrics, 1969
- On the Kolmogorov-Smirnov Test for Normality with Mean and Variance UnknownJournal of the American Statistical Association, 1967