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This document discusses two sequential conditional simulation methods: sequential indicator simulation (SIS) and sequential Gaussian simulation (SGS). The key difference is that SIS uses an indicator transform while SGS uses a normal-score transform. Both methods select simulation paths randomly rather than sequentially to avoid bias from starting in high or low value areas. The estimation equations also differ based on whether continuous or discrete variables are being simulated.

Author

DZIKRI N R

Language

EN