The Japanese Journal of Pharmacology
Online ISSN : 1347-3506
Print ISSN : 0021-5198
ISSN-L : 0021-5198
Microcomputer-Based Nonlinear Regression Analysis of Ligand-Binding Data: Application of Akaike's Information Criterion
Keita KAMIKUBOHiroshi MURASEMasanori MURAYAMAKiyoshi MIURA
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ジャーナル フリー

1986 年 40 巻 2 号 p. 342-346

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抄録
Akaike's information criterion (AIC) (Akaike, H., IEEE Trans. Automat. Contr. AC-19, 716-723 (1974)) was applied to estimate statistically the number of classes of binding sites from ligand-binding data. Several sets of data were analyzed by both the AIC method and the F-test method. Good agreement was obtained between results from both methods. The present results suggest that the AIC method can be a good alternative to the F-test to estimate the number of classes of sites.
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