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Approximate inference for the factor loading of a simple factor analysis model
(with J. Wu)
Scandinavian Journal of Statistics , 28(2), 2001, pp. 407-414
Abstract: We study a factor analysis model with two normally distributed observations and one factor. Two approximate conditional inference procedures for the factor loading are developed. The first proposal is a very simple procedure but it is not very accurate. The second proposal gives extremely accurate results even for very small sample size. Moreover, the calculations require only the signed log-likelihood ratio statistic and a measure of the standardized maximum likelihood departure. Simulations are used to study the accuracy of the proposed procedures.
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