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.
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D’Epifanio, G. (2011). About a Type of Quasi Linear Estimating Equation Approach. In: Fichet, B., Piccolo, D., Verde, R., Vichi, M. (eds) Classification and Multivariate Analysis for Complex Data Structures. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13312-1_26
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DOI: https://doi.org/10.1007/978-3-642-13312-1_26
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