薛树强, 党亚民, 陈武. 最小二乘估值均方差计算的矩阵体积法[J]. 武汉大学学报 ( 信息科学版), 2009, 34(9): 1106-1109.
引用本文: 薛树强, 党亚民, 陈武. 最小二乘估值均方差计算的矩阵体积法[J]. 武汉大学学报 ( 信息科学版), 2009, 34(9): 1106-1109.
XUE Shuqiang, DANG Yamin, CHEN Wu. Matrix Volume Method of the Mean Square Deviation Computation of Least Square Solution[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1106-1109.
Citation: XUE Shuqiang, DANG Yamin, CHEN Wu. Matrix Volume Method of the Mean Square Deviation Computation of Least Square Solution[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1106-1109.

最小二乘估值均方差计算的矩阵体积法

Matrix Volume Method of the Mean Square Deviation Computation of Least Square Solution

  • 摘要: 研究了最小二乘估值均方差计算的矩阵体积法,该方法无需计算最小二乘估值,其数值计算的稳定性较好,可在最小二乘解算前对系统的观测结构、函数模型的准确性和观测数据质量进行评价。

     

    Abstract: A simple and stable mean square deviation computation method without solving the linear equations is presented.The observing structure,the quality of observations and the accuracy of the function model can be evaluated before applying least square adjustment by using the proposed method in this method.

     

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