شماره ركورد :
21323
عنوان به زبان ديگر :
Optimal Estimator for Sample Size Using Monte-Carlo Method.
پديد آورندگان :
Bevrani H. نويسنده , Ghorbani M. نويسنده , Sadaghiani M. K. نويسنده
از صفحه :
1122
تا صفحه :
1124
تعداد صفحه :
3
چكيده لاتين :
In this study, we construct the optimal estimator for sample size, which were sufficient for maintenance the demanded accuracy and reliability. The goal of this paper is presenting three estimators such as follow. The first one which is traditional approach and rough enough is based on the Chebyshevיs inequality. The second one is based on the central limit theorem, but it doesnיt take into account the accuracy of the normal approximation. The third estimator is based on Berry-Esseenיs inequality that takes into account the accuracy of the normal approximation and is guaranteed.
شماره مدرك :
1205373
لينک به اين مدرک :
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