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作者：TAM, SM
摘要：This paper presents the necessary and sufficient conditions for the optimality of an arbitrary linear predictor of the total of a finite population in survey sampling under a general linear model with a symmetric and positive-definite covariance matrix. Results of the paper extend and unify earlier work on robust estimation in survey sampling under more restrictive conditions.
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作者：LIANG, KY; ZEGER, SL
摘要：This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence. The estimating equations are derived without specifying the joint distribution of a subject''s observations yet they reduce to the score equations for multivariate Gaussian outcomes. Asymptotic theory is presented for the...
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作者：HANNAN, EJ; KAVALIERIS, L; MACKISACK, M
