“Lowess”的版本间差异

2022年8月17日 (三) 12:58的最新版本

@@ 第1行： / 第1行： @@
+*One of Michele Cappellari Python Programs [https://www-astro.physics.ox.ac.uk/~cappellari/software/#loess]
-Locally Weighted Scatterplot Smoothing
+*Locally Weighted Scatterplot Smoothing：在局域回归方法基础上重新给数据点分配权重之后再smooth
-*局域的回归方法
+*参见 [https://sites.stat.washington.edu/courses/stat527/s14/readings/Cleveland_JASA_1979.pdf] [https://people.stat.sc.edu/grego/courses/stat540/ScatterplotSmoothing.pdf]
-*散点图smooth的方法
-参见 [https://sites.stat.washington.edu/courses/stat527/s14/readings/Cleveland_JASA_1979.pdf] [https://people.stat.sc.edu/grego/courses/stat540/ScatterplotSmoothing.pdf]
-*Python package [https://pypi.org/project/loess/#:~:text=Smoothing%20via%20robust%20locally-weighted%20regression%20in%20one%20or,%26%20Devlin%20%281988%29%20for%20the%20two-dimensional%20case.%20Contents]