Pages that link to "Item:Q3597443"

The following pages link to Latent class and finite mixture models for multilevel data sets (Q3597443):

Displaying 26 items.

• Constrained multilevel latent class models for the analysis of three-way three-mode binary data (Q269109) (← links)
• Long-term developments of respondent financial product portfolios in the EU: a multilevel latent class analysis (Q497099) (← links)
• A dimensionally reduced finite mixture model for multilevel data (Q604368) (← links)
• Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research (Q971528) (← links)
• Model based clustering of customer choice data (Q1621274) (← links)
• A hierarchical modeling approach for clustering probability density functions (Q1621283) (← links)
• Model based clustering of high-dimensional binary data (Q1663311) (← links)
• Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data (Q1752012) (← links)
• The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology (Q2169868) (← links)
• A multilevel latent class analysis of the purchasing channels among European consumers (Q2360321) (← links)
• Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model (Q2442117) (← links)
• Solving genetic heterogeneity in extended families by identifying sub-types of complex diseases (Q2513373) (← links)
• Multilevel and latent variable modeling with composite links and exploded likelihoods (Q2517865) (← links)
• Multilevel Latent Class Models with Dirichlet Mixing Distribution (Q3008860) (← links)
• Clustering Discrete Choice Data (Q3298487) (← links)
• Latent Variable Modelling: A Survey* (Q3608238) (← links)
• Multi-level modelling via stochastic multi-level multiset rewriting (Q4917198) (← links)
• Finite mixture models for clustering multilevel data with multiple cluster structures (Q4970584) (← links)
• Latent trajectory modelling of multivariate binary data (Q4970918) (← links)
• Biomarker classification derived from finite growth mixture modeling with a time-varying covariate: an example with phosphorus and glomerular filtration rate (Q5130156) (← links)
• Model Selection for Complex Multilevel Latent Class Model (Q5415890) (← links)
• A Latent‐Class Mixture Model for Incomplete Longitudinal Gaussian Data (Q5450459) (← links)
• Latent Variable Models in Heterogeneous Spaces for Observations of Mixed Types (Q5495083) (← links)
• Utility and application of SEM in delineating cause–effect relationship between ambient pollutant and fetal birth outcome (Q6139094) (← links)
• A two-step estimator for multilevel latent class analysis with covariates (Q6198859) (← links)
• Toward a unified perspective on assessment models. I: Foundations of a framework. (Q6640072) (← links)