Factor Analysis and AIC

@article{Akaike1987FactorAA,
  title={Factor Analysis and AIC},
  author={H. Akaike},
  journal={Psychometrika},
  year={1987},
  volume={52},
  pages={317-332}
}
  • H. Akaike
  • Published 1987
  • Mathematics
  • Psychometrika
  • The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis. The use of the AIC criterion in the factor analysis is particularly interesting when it is viewed as the choice of a Bayesian model. This observation shows that the area of application… CONTINUE READING
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