A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures
Journal of the ACM (JACM)
An Efficient Method for Generating Discrete Random Variables with General Distributions
ACM Transactions on Mathematical Software (TOMS)
General random number generator [G5]
Communications of the ACM
Writing simulations from scratch: Pascal implementations
WSC '87 Proceedings of the 19th conference on Winter simulation
Advances in evolutionary computing
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
A fast convergence clustering algorithm merging MCMC and EM methods
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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A sample of n lid random variables with a given unknown density is given. We discuss several issues related to the problem or generating a new sample of lid random variables with almost the same density. In particular, we look at sample independence, consistency, sample indistinguishability, moment matching and generator efficiency. We also introduce the notion of a replacement number, the minimum number of observations in a given sample that have to be replaced to obtain a sample with a given density.