[EN] The goal of this paper is to evaluate the outlier identification performance of iterative Data Snooping (IDS) and L-1-norm in levelling networks by considering the redundancy of the network, number and size of the ...
Baselga Moreno, Sergio; Klein, Ivandro; Sampaio Suraci, Stefano; Castro de Oliveira, Leonardo; Tomio Matsuoka, Marcelo; Francisco Rofatto, Vinicius(Hindawi Limited, 2021-07-24)
[EN]
Robust estimation has proved to be a valuable alternative to the least squares estimator for the cases where the dataset is contaminated with outliers. Many robust estimators have been designed to be minimally affected ...
[EN] Robust estimators are often lacking a closed-form expression for the computation of their residual covariance matrix. In fact, it is also a prerequisite to obtain critical values for normalized residuals. We present ...
Baselga Moreno, Sergio; Klein, Ivandro; Suraci, Stefano Sampaio; Castro de Oliveira, Leonardo; Matsuoka, Marcelo Tomio; Rofatto, Vinicius Francisco(Institute of Rock Structure and Mechanics, AS CR, 2020)
[EN] Different approaches have been proposed to determine the possible outliers existing in a dataset. The most widely used consists in the application of the data snooping test over the least squares adjustment results. ...