Mathematics
8 years ago

New Regression Technique Boosts Efficiency and Accuracy for Data Analysis.

Journal of the Royal Statistical Society Series B (Statistical Methodology)
Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
Bo Kai, Runze Li, Hui Zou

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Local composite quantile regression smoothing is a new method that improves upon local polynomial regression for analyzing data patterns. It is more efficient than local polynomial regression for non-normal errors and almost as efficient for normal errors. The method has been tested through simulations and real data examples, confirming its effectiveness in estimating data structures accurately.