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Beta spatial linear mixed model with variable dispersion using Monte Carlo maximum likelihood

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  • Oscar O. Melo
  • Carlos E. Melo
  • Jorge Mateu

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  • Oscar O. Melo & Carlos E. Melo & Jorge Mateu, 2016. "Beta spatial linear mixed model with variable dispersion using Monte Carlo maximum likelihood," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(1), pages 47-76, February.
  • Handle: RePEc:bla:stanee:v:70:y:2016:i:1:p:47-76
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    File URL: http://hdl.handle.net/10.1111/stan.12078
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    References listed on IDEAS

    as
    1. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    2. Hao Zhang, 2002. "On Estimation and Prediction for Spatial Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 58(1), pages 129-136, March.
    3. Ciprian Crainiceanu & David Ruppert & Gerda Claeskens & M. P. Wand, 2005. "Exact likelihood ratio tests for penalised splines," Biometrika, Biometrika Trust, vol. 92(1), pages 91-103, March.
    4. Simas, Alexandre B. & Barreto-Souza, Wagner & Rocha, Andréa V., 2010. "Improved estimators for a general class of beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 348-366, February.
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