考虑到传统的历史模拟方法存在的缺点，采用基于核估计的历史模拟方法获得估计值及其置信区间，并用实例进行了分析。
Considering the flaw of history simulation method, the paper adopts kernel estimation method to estimate parameters and their standard deviation, and then gives case analysis.
该区间估计中包含了目标函数的一个最优估计值。
This estimated interval contained an estimated value of goal function.
利用SAS软件计算穗部性状的最优线性无偏估计值（BLUP）， 并采用完备区间作图法进行QTL定位。
With the BLUP value estimated by SAS software, QTLs for ear architectural traits were detected by inclusive composite interval mapping (ICIM) using Windows QTL ICI-Mapping software.
结果通过季节趋势预测，得到该院2010年各月门诊诊次的点估计值和区间预测值。
Results Through predicting seasonal trends, the point estimation and interval prediction of clinic visits in various months of 2010 were calculated.
结果通过季节趋势预测，得到该院2010年各月门诊诊次的点估计值和区间预测值。
Results Through predicting seasonal trends, the point estimation and interval prediction of clinic visits in various months of 2010 were calculated.
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