This paper discusses the problems of optimizing parameters and robust estimation for GPS height fitting.
本文研究了GPS高程拟合时对所建立的数学模型进行参数优化选择和稳健估计。
Finally, we obtained three robust biased model fitting methods which were called as robust principal component estimate, robust ridge estimate and robust root-root estimate respectively.
三种方法分别是稳健主成分估计、稳健岭估计和稳健根方估计。
Moreover, under the situation of uncertainties in large historical flood, the quantities estimated by probability weighted moments may be more robust than those by a optimal curve fitting method.
在历史洪水存在不确定性情况下，以概率权重矩法估计的参数稳健性优于优化适线法。
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