Pages that link to "Item:Q1951110"
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The following pages link to Identifiability of linear mixed effects models (Q1951110):
Displaying 26 items.
- Identifiability of finite mixtures of multinomial logit models with varying and fixed effects (Q734379) (← links)
- Identifiability of covariance parameters in linear mixed effects models (Q739133) (← links)
- Identifiability and equivalence of GLLIRM models (Q1029515) (← links)
- On the identifiability of structural parameters in mixtures: Applications to psychological tests (Q1329704) (← links)
- Extending existing structural identifiability analysis methods to mixed-effects models (Q1697297) (← links)
- Least squares moment identification of binary regression mixture models (Q2036315) (← links)
- Learning from missing data with the binary latent block model (Q2066751) (← links)
- Nonlinear mixed effects modeling and warping for functional data using B-splines (Q2074289) (← links)
- Identifiability of Gaussian linear structural equation models with homogeneous and heterogeneous error variances (Q2131903) (← links)
- A note on the identifiability of latent variable models for mixed longitudinal data (Q2216962) (← links)
- Regressional identifiability and identification for beta mixtures. (Q2712966) (← links)
- Linear mixed function‐on‐function regression models (Q3465355) (← links)
- (Q4611014) (← links)
- Linear scalar-on-surface random effects regression models (Q5036530) (← links)
- The <i>t</i> linear mixed model: model formulation, identifiability and estimation (Q5082978) (← links)
- Identifiability of parameters in longitudinal correlated Poisson and inflated beta regression model with non-ignorable missing mechanism (Q5110805) (← links)
- Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data (Q5130564) (← links)
- A latent variable model for analyzing mixed longitudinal (<i>k</i>,<i>l</i>)-inflated count and ordinal responses (Q5138153) (← links)
- Checking identifiability of covariance parameters in linear mixed effects models (Q5138679) (← links)
- General location multivariate latent variable models for mixed correlated bounded continuous, ordinal, and nominal responses with non-ignorable missing data (Q5861563) (← links)
- Analysis of mixed correlated overdispersed binomial and ordinal longitudinal responses: LogLindley-Binomial and ordinal random effects model (Q5865407) (← links)
- Joint models for longitudinal zero-inflated overdispersed binomial and normal responses (Q6084696) (← links)
- Bayesian latent variable model of mixed correlated rank and beta-binomial responses with missing data for the international statistical literacy project poster competition (Q6102208) (← links)
- Gaussian copula joint models for mixed longitudinal zero-inflated count and continuous responses (Q6552987) (← links)
- Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights (Q6613887) (← links)
- Partially linear Bayesian modeling of longitudinal rank and time-to-event data using accelerated failure time model with application to brain tumor data (Q6625793) (← links)