| ,Regression analysis based on the variable transformation(Ⅱ)——the methods of fitting the data with almost uniform distribution[J].SICHUAN MENTAL HEALTH,2019,32(3):197-202 |
| Regression analysis based on the variable transformation(Ⅱ)——the methods of fitting the data with almost uniform distribution |
DOI：10.11886/j.issn.1007-3256.2019.03.002 |
| English keywords:Curve regression Noniterative penalized B - spline transformation Smoothing spline transformation Knot Smoothing parameter |
| Fund projects:国家高技术研究发展计划课题资助(2015AA020102) |
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| This paper was to introduce the approaches of curve regression analysis through the spline transformation of the independent variable by means of using the data set named sashelp. enso in the data base of SAS HELP. In the TRANSREG procedure of the SAS /STAT, six approaches of the spline transformation were involved as below: B - spline transformation, B - spline base transformation, monotonic B - spline transformation, non - iterative penalized B - spline transformation, iterative smoothing spline transformation, non - iterative smoothing spline transformation. The conclusion were as follows: under the conditions of ensuring the R- square to be equal to 0. 7 approximately and the regression model streamlining as much as possible, the fourth and fifth approach mentioned above were the best and they had almost the same fitting effects. |
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