Summary
We present an easy way of extending estimation of unknown parameters and prediction of random effects to mixed linear models where random effects have inhomogeneous variances. This method is part of an interactive computer programm AMP 84 which handles arbitrarily unbalanced nested classification ANOVA models.
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References
Hermann, K., Aeffe, J. and Seifert, B. (1984): Estimation, Prediction and Testing Hypotheses in Nixed Linear Models by using AM284.
Kleffe, J. (1984): On heteroscedasticity in variance components estimation.
Kleffe,J. and Seifert, B. (1984): Computation of variance components by the MINQUE method.
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Rao, C.R. and Kleffe, J. (1980): Estimation of variance components.
P.R. Krishnaiah ed. Handbook of Statistics Vol 1, 1 – 40, North Holland Publishing Company.
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© 1984 Springer-Verlag Berlin Heidelberg
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Kleffe, J. (1984). Statistical Analysis of Mixed Linear Models with Inhomogeneous Variances. In: Havránek, T., Šidák, Z., Novák, M. (eds) Compstat 1984. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-51883-6_29
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DOI: https://doi.org/10.1007/978-3-642-51883-6_29
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7051-0007-7
Online ISBN: 978-3-642-51883-6
eBook Packages: Springer Book Archive