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On Algorithms for Ordinary Least Squares Regression Spline Fitting: A Comparative Study

机译：普通最小二乘回归样条拟合算法的比较研究

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Thomas C. M. Lee;
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年度 2002
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1. Boosted regression trees,multivariate adaptive regression splines and their two-step combinations with multiple linear regression or partial least squares to predict blood-brain barrier passage:A case study [J] . E.Deconinck, M.H.Zhang, F.Petitet Analytica chimica acta . 2008,第1期

机译：增强回归树，多元自适应回归样条及其两步组合与多元线性回归或偏最小二乘，以预测血脑屏障通过：案例研究
2. A new approach to statistical efficiency of weighted least squares fitting algorithms for reparameterization of nonlinear regression models [J] . Zheng Shimin, Gupta A.K. Journal of Statistical Planning and Inference . 2012,第4期

机译：加权最小二乘拟合统计效率的非线性回归模型重新参数化新方法
3. A Simulation Study on SPSS Ridge Regression and Ordinary Least Squares Regression Procedures for Multicollinearity Data [J] . JOHN ZHANG, MAHMUD IBRAHIM Journal of applied statistics . 2005,第6期

机译：共共线性数据的SPSS岭回归和普通最小二乘回归程序的仿真研究
4. COMPARATIVE ANALYSIS OF REGRESSION LINE FITTING ALGORITHMS INBLIND METHOD OF MIXED NOISE VARIANCE EVALUATION IN RADARIMAGES [C] . Zabrodina V.V., Abramov S.K., Abramov K.D. International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves . 2010

机译：回归线拟合算法的比较分析辐射噪声噪声方差评价的缺陷方法
5. Quantifying trace atmospheric gases using open path FTIR measurements combined with a nonlinear least squares fitting algorithm: A feasibility study. [D] . Connor, Thomas Cameron. 2004

机译：使用开路FTIR测量结合非线性最小二乘拟合算法对痕量大气气体进行定量：可行性研究。
6. Least-Squares Fitting Algorithms of the NIST Algorithm Testing System [O] . Craig M. Shakarji 1998

机译：NIST算法测试系统的最小二乘拟合算法
7. Algorithms. 49. PIECE LIN REGR. An algorithm for fitting discontinuous multiphase linear least-square regression [O] . Zdeněk Režný, Ivan Dylevský 1984

机译：算法。 49.林雷。一种拟合不连续多相线性最小二乘回归的算法
8. Genetic Algorithm for Variable Knot Spline Fitting via Least Squares [R] . Pittman, J. L. 1998

机译：基于最小二乘法的变结构样条拟合遗传算法

On Algorithms for Ordinary Least Squares Regression Spline Fitting: A Comparative Study

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