tidal residual vector 潮汐残差矢量
dynamic residual vector 残余力向量
projection modulus of residual vector 残余向量投影范
Residual error vector 残差误差向量
residual force vector 残余力向量
joint residual force vector 节点残余力向量
When the data were processed with Kalman filtering method, the gross errors could be found in the forecasting residual vector.
用卡尔曼滤波方法进行数据处理时，观测值中的粗差将在预测残差向量中得到反映。
By analyzing the relationship of the Kalman filtering model errors and the forecasting residual vector, a method of detecting gross errors was proposed.
通过分析卡尔曼滤波模型误差与预测残差向量之间的关系，提出了对粗差进行探测的方法，并通过一个实例说明了该方法的有效性。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
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