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- W125182794 abstract "Hierarchical generalized linear models (HGLMs) are developed as a synthesis of (i) generalized linear models (GLMs) (ii) mixed linear models, (iii) joint modelling of mean and dispersion and (iv) modelling of spatial and temporal correlations. Statistical inferences for complicated phenomena can be made from such a HGLM, which is capable of being decomposed into diverse component GLMs, allowing the application of standard GLM procedures to those components, in particular those for model checking." @default.
- W125182794 created "2016-06-24" @default.
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- W125182794 date "2000-01-01" @default.
- W125182794 modified "2023-09-24" @default.
- W125182794 title "HGLMs for analysis of correlated non-normal data" @default.
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- W125182794 doi "https://doi.org/10.1007/978-3-642-57678-2_9" @default.
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