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A signed-rank estimator for nonlinear regression models when covariates and errors are dependent

Hira L. Koul & P. Vellaisamy

Annals of the Institute of Statistical Mathematics2025https://doi.org/10.1007/s10463-025-00929-warticle
ABDC A
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0.50

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https://doi.org/https://doi.org/10.1007/s10463-025-00929-w

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@article{hira2025,
  title        = {{A signed-rank estimator for nonlinear regression models when covariates and errors are dependent}},
  author       = {Hira L. Koul & P. Vellaisamy},
  journal      = {Annals of the Institute of Statistical Mathematics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10463-025-00929-w},
}

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A signed-rank estimator for nonlinear regression models when covariates and errors are dependent

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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