Diagnostic tests for the distribution of random effects in multivariate mixed effects models
Simos G. Meintanis,
James S. Allison and
Leonard Santana
Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 1, 201-215
Abstract:
Fourier methods are proposed for testing the distribution of random effects in classical and robust multivariate mixed effects models. The test statistics involve estimation of the characteristic function of random effects. Theoretical and computational issues are addressed while Monte Carlo results show that the new procedures compare favorably with other methods.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:45:y:2016:i:1:p:201-215
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DOI: 10.1080/03610926.2013.828073
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