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Anderson, T.W. and Rubin, H. (1956) Statistical Inference in Factor Analysis. In: Neyman, J., Ed., Proceedings of the 3rd Berkeley Symposium on Mathematical Statistics and Probability, Vol. 5, Berkeley, 111-150.

has been cited by the following article:

• TITLE: A Note on Approximation of Likelihood Ratio Statistic in Exploratory Factor Analysis

  AUTHORS: Masanori Ichikawa

  KEYWORDS: Factor Analysis, Likelihood Ratio Statistic, Maximum Likelihood Estimation

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.6, October 30, 2015

  ABSTRACT: In normal theory exploratory factor analysis, likelihood ratio (LR) statistic plays an important role in evaluating the goodness-of-fit of the model. In this paper, we derive an approximation of the LR statistic. The approximation is then used to show explicitly that the expectation of the LR statistic agrees with the degrees of freedom of the asymptotic chi-square distribution.