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Nonparametric<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si35.gif" display="inline" overflow="scroll"><mml:mi>M</mml:mi></mml:math>-estimation for right censored regression model with stationary ergodic data

Mohamed Chaouch et al.

Statistical Methodology2016https://doi.org/10.1016/j.stamet.2016.10.002article
ABDC C
Weight
0.34

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https://doi.org/https://doi.org/10.1016/j.stamet.2016.10.002

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@article{mohamed2016,
  title        = {{Nonparametric<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si35.gif" display="inline" overflow="scroll"><mml:mi>M</mml:mi></mml:math>-estimation for right censored regression model with stationary ergodic data}},
  author       = {Mohamed Chaouch et al.},
  journal      = {Statistical Methodology},
  year         = {2016},
  doi          = {https://doi.org/https://doi.org/10.1016/j.stamet.2016.10.002},
}

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Nonparametric<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si35.gif" display="inline" overflow="scroll"><mml:mi>M</mml:mi></mml:math>-estimation for right censored regression model with stationary ergodic data

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Evidence weight

0.34

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

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.73 × 0.15 = 0.11
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.