분산감소기법을 이용한 파라미터 추정의 효율성 = Efficiency of Estimation for Parameters by Use of Variance Reduction Techniques

다국어 초록 (Multilingual Abstract)

We develop a variance reduction technique applicable in one simulation experiment whose purpose is to estimate the parameters of a first order linear model. This method utilizes the control variates obtained during the course of simulation run under Schruben and Margolin's method (S-M method). The performance of this method is shown to be similar in estimating the main effects, and to be superior to S-M method in estimating the overall mean response in a given model. We consider that a proposed method may yield a better result than S-M method if selected control variates are highly correlated with the response at each design point.

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