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Suraci, SS.; Castro De Oliveira, L.; Klein, I.; Rofatto, VF.; Matsuoka, MT.; Baselga Moreno, S. (2021). Monte Carlo-Based Covariance Matrix of Residuals and Critical Values in Minimum L1-Norm. Mathematical Problems in Engineering. 2021:1-9. https://doi.org/10.1155/2021/8123493
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/199213
Título: | Monte Carlo-Based Covariance Matrix of Residuals and Critical Values in Minimum L1-Norm | |
Autor: | Suraci,Stefano Sampaio Castro de Oliveira, Leonardo Klein, Ivandro Rofatto, Vinicius Francisco Matsuoka, Marcelo Tomio | |
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[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 ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.1155/2021/8123493 | |
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This work was supported by the Department of Science and Technology of the Brazilian Army. The authors would like to thank the research group "Controle de Qualidade e Inteligencia Computacional em Geodesia" (dgp.cnpq.br/ ...[+]
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