Details

Autor(en) / Beteiligte

• KAMIKUBO, Keita
• MURASE, Hiroshi
• MURAYAMA, Masanori
• MIURA, Kiyoshi

Titel

Microcomputer-Based Nonlinear Regression Analysis of Ligand-Binding Data: Application of Akaike's Information Criterion

Ist Teil von

• The Japanese Journal of Pharmacology, 1986, Vol.40(2), pp.342-346

Ort / Verlag

Japan: The Japanese Pharmacological Society

Erscheinungsjahr

1986

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.