回歸分析中的r-robust lar r squree及r-robust lar r squree在統計上有何差異

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Determining Danshensu and Hesperidin in Rukuaxiaopian Using Near-Infrared Spectroscopy近红外光谱结合不同偏最小二乘法测定乳块消片醇沉液中丹参素和橙皮苷含量
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Keywords: ,,,,,online test近红外光谱法,,,,,
This study works on a new approach to determine the content of Danshensu and hesperidin in Rukuaxiaopian, a traditional Chinese medicine, using the combined near-infrared and ChemoMetrical techniques. Both training set samples and predicted set samples were partitioned using SPXY technique (Sample set Partitioning based on joint x-y distance). Different interval partial least square (iPLS) schemes were employed to define the valid wavelengths and to set up a quantitative calibration model. A comparison was made between interval partial least squares, Synergy interval partial least squares (SiPLS), backward interval partial least squares (BiPLS), and moving window partial least squares (MWPLS). Study results show that the 3-SiPLS combination and 4-SiPLS combination are most desirable for Danshensu and hesperidin respectively in regression performance. The predicted correlation coefficient (R) sat at 0.9956 and 0.9940 respectively, with RMSECV at 0.0096 and 0.0083, and RMSEP at 0.0062 and 0.0074. It is concluded that the near-infrared technique is useful for predicting the content of Danshensu and hesperidin in a simple, fast, and environment friendly manner. It provides evidences for online TCM tests.
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3秒自动关闭窗口回归分析中的SS,MS,F,P,S、R-Sq和R-Sq(调整)是什么意思,有什么意义?
S:回归模型误差的标准方差。
R-Sq:回归模型误差占总误差的百分比。取值在0%和100%之间,数值越大,表明回归模型与数据吻合得越好。
R-Sq(adj):调整的R-Sq,取值也在0%和100%之间。R-Sq(adj)与R-Sq越接近,表明回归模型越可靠。
SS:离散差平方和
MS:均方差,=SS/自由度
P:显著性水平,当P小于0.05时,存在显著性相关
R-sq值越大越好,后面r-sq是minitab调整后的值,若大于百分之七十,存在相关性,我们可以使用,但需谨慎,85%以上,关系显著,也可以对话框的p值,=0.05,关系显著.
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