Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.
在期权定价的蒙特卡罗模拟中，重要性抽样是一种有效的方差减小技术。
A kind of nonlinear regression estimator for limited Population is given and the quality and the sampling variance about is discussed.
对有限总体在不放回抽样的方法下，构造了一类非线性回归估计量，讨论了它的性质及其有关抽样误差．。
This paper studies reliability sampling inspection method for items whose quality characteristic has a normal distribution with an unknown variance under double combined specification limits.
在综合双侧规格限下研究方差未知的正态分布产品可靠性抽样检验方法。
We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.
讨论多阶段抽样比率估计及其样本量选择的问题，给出了比率估计抽样均方误差的近似公式及其渐近无偏估计的公式。
We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.
讨论多阶段抽样比率估计及其样本量选择的问题，给出了比率估计抽样均方误差的近似公式及其渐近无偏估计的公式。
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