当平差模型中存在复共线关系时，未知参数的最小二乘估计很不可靠。
The least Square estimates are not reliable when there exists multicollinearity in adjustment model.
对于非线性最小二乘平差参数的方差协方差传播的研究，必须与非线性最小二乘平差的研究同步。
The research of variance covariance propagation of nonlinear least squares adjusted parameters must keep in step with the development of nonlinear least squares adjustment in this area.
其结果表明，按最小二乘平差求转换参数时，必须使用相关权阵。
The result demonstrates that the correlated weight matrix must be applied to solving transformation parameters according to least square adjustment.
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