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Multivariate Multilevel Nonlinear Mixed Effects Models for Timber Yield Predictions

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  • Daniel B. Hall
  • Michael Clutter

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  • Daniel B. Hall & Michael Clutter, 2004. "Multivariate Multilevel Nonlinear Mixed Effects Models for Timber Yield Predictions," Biometrics, The International Biometric Society, vol. 60(1), pages 16-24, March.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:1:p:16-24
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00163.x
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    References listed on IDEAS

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    1. Wolfinger, Russell D. & Xihong Lin, 1997. "Two Taylor-series approximation methods for nonlinear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 465-490, September.
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    Cited by:

    1. Amadu, Festus O. & Miller, Daniel C., 2024. "The impact of forest product collection and processing on household income in rural Liberia," Forest Policy and Economics, Elsevier, vol. 158(C).
    2. Guillermo Marshall & Rolando De la Cruz-Mesía & Fernando A. Quintana & Anna E. Barón, 2009. "Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data," Biometrics, The International Biometric Society, vol. 65(1), pages 69-80, March.
    3. Fu, Liyong & Wang, Mingliang & Lei, Yuancai & Tang, Shouzheng, 2014. "Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 173-183.
    4. Restrepo, Héctor I. & Orrego, Sergio A., 2015. "A comprehensive analysis of teak plantation investment in Colombia," Forest Policy and Economics, Elsevier, vol. 57(C), pages 31-37.

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