In this work, a type of quasi-linear system is presented, which is able to identify the ”true” value of parameter-profile in the setup of ”generalized linear mixed models”. A type of quasi-linearization of the link function is used, which would preserve basic sampling properties of conditioned moments of the random latent profile. Then, an approach is outlined in estimating. It uses a weighted quasi- linear estimating system which is exactly unbiased. Due to quasi-linearization, it might be solved by using easy-to-implement recursive procedures.
About a Type of Quasi-linear Estimating Equation Approach
D'EPIFANIO, Giulio
2011
Abstract
In this work, a type of quasi-linear system is presented, which is able to identify the ”true” value of parameter-profile in the setup of ”generalized linear mixed models”. A type of quasi-linearization of the link function is used, which would preserve basic sampling properties of conditioned moments of the random latent profile. Then, an approach is outlined in estimating. It uses a weighted quasi- linear estimating system which is exactly unbiased. Due to quasi-linearization, it might be solved by using easy-to-implement recursive procedures.File in questo prodotto:
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