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Listar por autor "Suraci, Stefano Sampaio"

Mostrando ítems 1-3 de 3

An attempt to analyse Iterative Data Snooping and L1-norm based on Monte Carlo simulation in the context of leveling networks

Klein, Ivandro; Suraci, Stefano Sampaio; de Oliveira, Leonardo Castro; Rofatto, Vinicius Francisco; Matsuoka, Marcelo Tomio; Baselga Moreno, Sergio (Maney Publishing, 2022-01-02)

[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 ...
Monte Carlo-Based Covariance Matrix of Residuals and Critical Values in Minimum L1-Norm

Suraci,Stefano Sampaio; Castro de Oliveira, Leonardo; Klein, Ivandro; Rofatto, Vinicius Francisco; Matsuoka, Marcelo Tomio; Baselga Moreno, Sergio (Hindawi Limited, 2021-06-19)

[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 ...
Performance comparison of least squares, iterative and global L1 Norm minimization and exhaustive search methods for outlier detection in leveling networks

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. ...

Mostrando ítems 1-3 de 3

Listar por autor "Suraci, Stefano Sampaio"

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Listar por autor "Suraci, Stefano Sampaio"