The determination of factors in linear models of factor analysis
Applications of Mathematics, Tome 35 (1990) no. 5, pp. 350-355
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The author shows that a decomposition of a covariance matrix $\bold{\sum = AA'}$ implies the corresponding model, i.e. the existence of factors $f_j$ such that $\sum a_{ij}f_j$ is true. The result is applied to the general linear model of factor analysis. A procedure for computing the factor score is proposed.
The author shows that a decomposition of a covariance matrix $\bold{\sum = AA'}$ implies the corresponding model, i.e. the existence of factors $f_j$ such that $\sum a_{ij}f_j$ is true. The result is applied to the general linear model of factor analysis. A procedure for computing the factor score is proposed.
DOI : 10.21136/AM.1990.104416
Classification : 62H05, 62H25
Keywords: factor score; linear model; existence of factors; singular value decomposition; decomposition of a covariance matrix
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Kratochvíl, Petr. The determination of factors in linear models of factor analysis. Applications of Mathematics, Tome 35 (1990) no. 5, pp. 350-355. doi: 10.21136/AM.1990.104416

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[2] T. W Anderson, Herman Rubin: Statistical inference in factor analysis. Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability (Jerzy Neyman, ed.), Vol. V, University of California, Berkeley and Los Angeles, 1956. | MR

[3] P. Blahuš: Factor analysis and its generalization. Matematický seminář SNTL, sv. 21, Praha 1985 (in Czech, russian translation to appear).

[4] P. Kratochvíl J. Nekola: Modelling of the research activity with the use of factor analysis. (Czech). Ekonomicko-matematický obzor 15 (1979), 295-309.

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