In this thesis, traditional data reconciliation and gross errors detection methods are studied firstly.
本文首先对传统的数据协调方法和过失误差侦破方法进行了研究。
The results show that the new method can improve the detecting power of the muhiple gross errors detection greatly.
实例研究表明，这种方法能够有效地提高多过失误差共存时的侦破能力。
This paper discusses the resistance of gross errors with quasi accurate detection and the improvement of ill conditioned equation with ridge estimate when the equation is ill conditioned and polluted.
针对法方程呈现病态且观测值受到污染而不严格服从正态分布的情况，探讨运用拟准检定法抗御粗差，用岭估计改善法方程的病态性。
The simultaneous estimation of gross errors (SEGE) is modified by adding environment node constraint to improve the detection performance.
通过加入环境节点约束方程对多显著误差的同步识别并同步补偿法(SEGE)进行改进研究。
Ascribing gross errors to random model, this paper puts forward a detection method of multiple gross errors based on variance inflation model.
本文将粗差归入随机模型，提出了基于方差膨胀模型的粗差探测方法。
This paper will answer such a question: why can the gross errors be found, identified and detected correctly and accurately by the method of quasi accurate detection of gross errors (QUAD)?
本文将回答这样一个问题：为什么拟准检定法能准确地定位粗差并估计出粗差大小？
This paper will answer such a question: why can the gross errors be found, identified and detected correctly and accurately by the method of quasi accurate detection of gross errors (QUAD)?
本文将回答这样一个问题：为什么拟准检定法能准确地定位粗差并估计出粗差大小？
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