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Insensitivity regions for deformation measurement on a dam

机译:大坝变形测量的不敏感区域

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Deformation measurement during the filling a dam can be modelled by a multivariate model. Multivariate models usually involve unknown parameters not only in the mean value of the observation matrix but also in the covariance matrix (variance components). The variance components must be estimated and plug-in estimators for the mean value parameters can be used. To find statistical properties of plug-in estimators is rather difficult. In some cases the sensitivity approach can be used. If we know that the true value of the variance components is with sufficiently high probability in so-called insensitivity region, then the plug-in estimator is almost the best linear unbiased estimator. The aim of the paper is to investigate this insensitivity regions, i.e. the region around the true value of variance components, where small changes of them are only of negligible influence on the mean value parameter estimators. The obtained results are applied on the problem of deformation measurement during the filling a dam.
机译:可以通过多变量模型来建模填充坝期间的变形测量​​。多元模型通常不仅在观察矩阵的平均值中而且在协方差矩阵(方差分量)中都涉及未知参数。必须估算方差分量,并且可以使用均值参数的插入估算器。要找到插件估算器的统计属性相当困难。在某些情况下,可以使用敏感性方法。如果我们知道方差分量的真实值在所谓的不敏感区域中具有足够高的概率,则插件估计器几乎是最佳的线性无偏估计器。本文的目的是研究这种不敏感区域,即方差分量的真实值周围的区域,在这些区域中,它们的细微变化对平均值参数估计量的影响微不足道。所获得的结果应用于在填筑大坝期间的变形测量​​问题。

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