Descriptor
| Bayesian Statistics | 1 |
| Factor Analysis | 1 |
| Mathematical Models | 1 |
| Maximum Likelihood Statistics | 1 |
| Selection | 1 |
Source
| Psychometrika | 1 |
Author
| Akaike, Hirotugu | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
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Peer reviewedAkaike, Hirotugu – Psychometrika, 1987
The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)
Descriptors: Bayesian Statistics, Factor Analysis, Mathematical Models, Maximum Likelihood Statistics
