A methodology that combines the multistage-sequential and the two-stage optimum combination of variables (regression) Monte Carlo methods is exposed. This leads to the elimination of the need to evaluate complicated functions or integrals or matrix multiplications, as required in multistage-sequential Monte Carlo. A faster convergence is observed whenever a high positive correlation exists between the primary estimators used.
|Original language||English (US)|
|Number of pages||6|
|State||Published - 1983|
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