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A Newton-Raphson algorithm for maximum likelihood factor analysis

Author

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  • Robert Jennrich
  • Stephen Robinson

Abstract

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Suggested Citation

  • Robert Jennrich & Stephen Robinson, 1969. "A Newton-Raphson algorithm for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(1), pages 111-123, March.
    • Handle: RePEc:spr:psycho:v:34:y:1969:i:1:p:111-123
    DOI: 10.1007/BF02290176
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    Citations

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    Cited by:

    1. A. Swain, 1975. "A class of factor analysis estimation procedures with common asymptotic sampling properties," Psychometrika, Springer;The Psychometric Society, vol. 40(3), pages 315-335, September.
    2. Roderick McDonald, 1986. "Describing the elephant: Structure and function in multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 513-534, December.
    3. Hamparsum Bozdogan & Donald Ramirez, 1988. "FACAIC: Model selection algorithm for the orthogonal factor model using AIC and CAIC," Psychometrika, Springer;The Psychometric Society, vol. 53(3), pages 407-415, September.
    4. Michael Browne, 1988. "Properties of the maximum likelihood solution in factor analysis regression," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 585-589, December.
    5. Robert Jennrich, 1986. "A gauss-newton algorithm for exploratory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 277-284, June.
    6. Kohei Adachi, 2013. "Factor Analysis with EM Algorithm Never Gives Improper Solutions when Sample Covariance and Initial Parameter Matrices Are Proper," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 380-394, April.
    7. Sik-Yum Lee, 1980. "Estimation of covariance structure models with parameters subject to functional restraints," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 309-324, September.
    8. Yutaka Kano, 1990. "Noniterative estimation and the choice of the number of factors in exploratory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 277-291, June.
    9. Lorenzo Finesso & Peter Spreij, 2016. "Factor analysis models via I-divergence optimization," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 702-726, September.
    10. Ihara, Masamori & Kano, Yutaka, 1995. "Identifiability of full, marginal, and conditional factor analysis models," Statistics & Probability Letters, Elsevier, vol. 23(4), pages 343-350, June.
    11. Masanori Ichikawa & Sadanori Konishi, 1995. "Application of the bootstrap methods in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 60(1), pages 77-93, March.

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