Cargando…
Robust Relative Error Estimation
Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers. To address this issue, we employ the [Formula: see text]-likelihood function, which is constructed through [Formula: s...
Autores principales: | Hirose, Kei, Masuda, Hiroki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513150/ https://www.ncbi.nlm.nih.gov/pubmed/33265721 http://dx.doi.org/10.3390/e20090632 |
Ejemplares similares
-
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning
por: Maddouri, Omar, et al.
Publicado: (2022) -
Robust Adaptive Beamforming with Optimal Covariance Matrix Estimation in the Presence of Gain-Phase Errors
por: Yao, Di, et al.
Publicado: (2020) -
Demonstrating the robustness of population surveillance data: implications of error rates on demographic and mortality estimates
por: Fottrell, Edward, et al.
Publicado: (2008) -
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
por: Kose, Frank, et al.
Publicado: (2007) -
Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error()()
por: Stenroos, Matti, et al.
Publicado: (2013)