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Estimation of the Nonlinear Random Coefficient Model when Some Random Effects Are Separable

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  • Stephen Toit
  • Robert Cudeck

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Abstract

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Suggested Citation

  • Stephen Toit & Robert Cudeck, 2009. "Estimation of the Nonlinear Random Coefficient Model when Some Random Effects Are Separable," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 65-82, March.
  • Handle: RePEc:spr:psycho:v:74:y:2009:i:1:p:65-82 DOI: 10.1007/s11336-008-9107-7
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    References listed on IDEAS

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    1. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
    2. Vonesh E. F. & Wang H. & Nie L. & Majumdar D., 2002. "Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 271-283, March.
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    Cited by:

    1. Nidhi Kohli & Jeffrey R. Harring & Cengiz Zopluoglu, 2016. "A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures Data," Psychometrika, Springer;The Psychometric Society, pages 851-880.
    2. Jolynn Pek & Hao Wu, 2015. "Profile Likelihood-Based Confidence Intervals and Regions for Structural Equation Models," Psychometrika, Springer;The Psychometric Society, pages 1123-1145.

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