A step-by-step guide to non-linear regression analysis of experimental data using a Microsoft Excel spreadsheet

作者: Angus M. Brown

DOI: 10.1016/S0169-2607(00)00124-3

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摘要: The objective of this present study was to introduce a simple, easily understood method for carrying out non-linear regression analysis based on user input functions. While it is relatively …

参考文章(7)
John Dempster, Computer analysis of electrophysiological signals Academic Press. ,(1993)
Harvey J. Motulsky, Lennart A. Ransnas, Fitting curves to data using nonlinear regression: a practical and nonmathematical review. The FASEB Journal. ,vol. 1, pp. 365- 374 ,(1987) , 10.1096/FASEBJ.1.5.3315805
Michael L. Johnson, Why, when, and how biochemists should use least squares. Analytical Biochemistry. ,vol. 206, pp. 215- 225 ,(1992) , 10.1016/0003-2697(92)90356-C
L. S. Lasdon, A. D. Waren, A. Jain, M. Ratner, Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming ACM Transactions on Mathematical Software. ,vol. 4, pp. 34- 50 ,(1978) , 10.1145/355769.355773
W Bowen, NONLINEAR REGRESSION USING SPREADSHEETS Trends in Pharmacological Sciences. ,vol. 16, pp. 413- 417 ,(1995) , 10.1016/S0165-6147(00)89091-4
Stuart Smith, Leon Lasdon, Solving Large Sparse Nonlinear Programs Using GRG Informs Journal on Computing. ,vol. 4, pp. 2- 15 ,(1992) , 10.1287/IJOC.4.1.2
John Rischard Rice, Mathematical software Encyclopedia of Computer Science. pp. 1093-1096- 1093-1096 ,(1971)