Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending

By Robert Finger. 2010

61 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Soil Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ff4bde84bb8413754c58b327f69ba3180863d58b

How researchers see this paper

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In General Agricultural and Biological Sciences

1. Zhu Wang
2. Tao Ye
3. Jun Wang
4. Jianliang Nie
5. Peijun Shi

In Soil Science

1. Zhu Wang
2. Tao Ye
3. Jun Wang
4. Jianliang Nie
5. Peijun Shi

In Statistics and Probability

1. Zhu Wang
2. Tao Ye
3. Jun Wang
4. Jianliang Nie
5. Peijun Shi

Citations in the corpus

• Performance of detrending models of crop yield risk assessment: evaluation on real and hypothetical yield data (2014, methodology): “In addition to y and e, outliers were incorporated into the simulation to further check the robustness of the trend models against outlier contamination, as previously implemented (Swinton and King 1991; Finger 2010).”