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Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation

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  • Anne Boomsma
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    File URL: http://hdl.handle.net/10.1007/BF02294248
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 50 (1985)
    Issue (Month): 2 (June)
    Pages: 229-242

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    Handle: RePEc:spr:psycho:v:50:y:1985:i:2:p:229-242

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    Related research

    Keywords: maximum likelihood estimation; LISREL; Davidon-Fletcher-Powell; starting values; nonconvergence; improper solutions; robustness; Monte Carlo; small sample results;

    References

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    1. David Rindskopf, 1983. "Parameterizing inequality constraints on unique variances in linear structural models," Psychometrika, Springer, vol. 48(1), pages 73-83, March.
    2. Donald Rubin & Dorothy Thayer, 1982. "EM algorithms for ML factor analysis," Psychometrika, Springer, vol. 47(1), pages 69-76, March.
    3. Sik-Yum Lee, 1980. "Estimation of covariance structure models with parameters subject to functional restraints," Psychometrika, Springer, vol. 45(3), pages 309-324, September.
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    Cited by:
    1. Andreas Buehn & Roberto Dell'Anno & Friedrich Schneider, 2013. "Fiscal illusion and the shadow economy: Two sides of the same coin?," Economics working papers 2013-21, Department of Economics, Johannes Kepler University Linz, Austria.
    2. 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.
    3. Yuan, Ke-Hai & Chan, Wai, 2008. "Structural equation modeling with near singular covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4842-4858, June.
    4. Gonzalez-Lima, F. & McIntosh, A.R., 1995. "Analysis of neural network interactions related to associative learning using structural equation modeling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 40(1), pages 115-140.

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