Results show that the proposed weighted regression calibration method is the most efficient and that the standard errors estimated using a bootstrap procedure are satisfactory.
对于参数估计量的标准差，我们则是利用拔靴法来估计，其结果的表现也与仿真的标准差很接近。
Results show that the proposed weighted regression calibration method is the most efficient and that the standard errors estimated using a bootstrap procedure are satisfactory.
对于参数估计量的标准差，我们则是利用拔靴法来估计，其结果的表现也与仿真的标准差很接近。
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