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Maximum likelihood estimation of nonlinear structural equation models

  • Sik-Yum Lee

    ()

  • Hong-Tu Zhu
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    No abstract is available for this item.

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    File URL: http://hdl.handle.net/10.1007/BF02294842
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    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 67 (2002)
    Issue (Month): 2 (June)
    Pages: 189-210

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    Handle: RePEc:spr:psycho:v:67:y:2002:i:2:p:189-210
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    1. Anderson, T. W., 1989. "Linear latent variable models and covariance structures," Journal of Econometrics, Elsevier, vol. 41(1), pages 91-119, May.
    2. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    3. Donald Rubin & Dorothy Thayer, 1982. "EM algorithms for ML factor analysis," Psychometrika, Springer, vol. 47(1), pages 69-76, March.
    4. Sik-Yum Lee & Sin-Yu Tsang, 1999. "Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms," Psychometrika, Springer, vol. 64(4), pages 435-450, December.
    5. Roderick McDonald, 1967. "Numerical methods for polynomial models in nonlinear factor analysis," Psychometrika, Springer, vol. 32(1), pages 77-112, March.
    6. Bagozzi, Richard P & Baumgartner, Hans & Yi, Youjae, 1992. " State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage," Journal of Consumer Research, University of Chicago Press, vol. 18(4), pages 505-18, March.
    7. Jamshid Etezadi-Amoli & Roderick McDonald, 1983. "A second generation nonlinear factor analysis," Psychometrika, Springer, vol. 48(3), pages 315-342, September.
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