“Lowess”的版本间差异
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(创建页面,内容为“Locally Weighted Scatterplot Smoothing *局域的回归方法 *散点图smooth的方法 参见 [https://sites.stat.washington.edu/courses/stat527/s14/readings/Clevel…”) |
无编辑摘要 |
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*局域的回归方法 |
*局域的回归方法 |
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*散点图smooth的方法 |
*散点图smooth的方法 |
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参见 [https://sites.stat.washington.edu/courses/stat527/s14/readings/Cleveland_JASA_1979.pdf] |
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] |
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*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] |