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广义线性模型中的随机效应预测AI 解读

This article develops an estimating function-based approach to component estimation in the two-stage generalized linear model with univariate random effects and a vector of fixed effects. The novelty and unifying feature of the method is the use of estimating functions in the estimation of both the random effects and their variance. Two separate estimating procedures based on the method are proposed that differ in the intensity of numerical computation required. The…

通过估计函数扩展 Stein 估计程序AI 解读

This article extends the Stein method through the use of estimating functions (Godambe 1960) to address the simultaneous estimation of k population parameters, θ1, …, θ k , in a mixed model setting. The procedure generalizes the Stein method by (a) allowing us to deal effectively with complications, such as inequality of population variances, that may arise in non-Gaussian mixed models; (b) being appropriate for estimating θ i in populations of varying sizes and, in…