Pages that link to "Item:Q2441054"
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The following pages link to A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models (Q2441054):
Displaying 16 items.
- Conditional Akaike information criterion for generalized linear mixed models (Q425668) (← links)
- An assumption for the development of bootstrap variants of the Akaike information criterion in mixed models (Q945775) (← links)
- A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure (Q1662050) (← links)
- Selective inference for additive and linear mixed models (Q2072385) (← links)
- Model averaging for linear mixed models via augmented Lagrangian (Q2072389) (← links)
- Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random (Q2242002) (← links)
- A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models (Q2441054) (← links)
- Selection strategy for covariance structure of random effects in linear mixed-effects models (Q2791840) (← links)
- Conditional Akaike information criteria for a class of Poisson mixture models with random effects (Q2835320) (← links)
- Conditional Akaike information under generalized linear and proportional hazards mixed models (Q3174196) (← links)
- Conditional Akaike information for mixed-effects models (Q5479496) (← links)
- Mixed-effects modelling for crossed and nested data: an analysis of dengue fever in the state of Goiás, Brazil (Q5861455) (← links)
- Insurance pricing with hierarchically structured data an illustration with a workers' compensation insurance portfolio (Q6096081) (← links)
- Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models (Q6175686) (← links)
- Inference on variance components near boundary in linear mixed effect models (Q6600378) (← links)
- Multivariate probit linear mixed models for multivariate longitudinal binary data (Q6618443) (← links)
