Pages that link to "Item:Q1020201"
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The following pages link to Mixture analysis of multivariate categorical data with covariates and missing entries (Q1020201):
Displaying 16 items.
- Long-term developments of respondent financial product portfolios in the EU: a multilevel latent class analysis (Q497099) (← links)
- Latent ignorability and item selection for nursing home case-mix evaluation (Q724611) (← links)
- Marginalizing pattern-mixture models for categorical data subject to monotone missingness (Q745343) (← links)
- Latent class based multiple imputation approach for missing categorical data (Q989249) (← links)
- Editorial: Advances in mixture models (Q1020196) (← links)
- Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks (Q1023695) (← links)
- Fitting a mixture model to three-mode three-way data with missing information (Q1566104) (← links)
- Variable selection methods for model-based clustering (Q1749770) (← links)
- Beliefs and needs of academic teachers: a latent class analysis (Q2220293) (← links)
- Students' complex problem solving profiles (Q2220378) (← links)
- A multilevel latent class analysis of the purchasing channels among European consumers (Q2360321) (← links)
- A multilevel finite mixture item response model to cluster examinees and schools (Q2418254) (← links)
- Modeling Longitudinal Obesity Data with Intermittent Missingness Using a New Latent Variable Model (Q2816735) (← links)
- Impact of adolescent obesity on middle‐age health of women given data MAR (Q4998795) (← links)
- Using a Mixture Model for Multiple Imputation in the Presence of Outliers: The ‘Healthy for Life’ Project (Q5757860) (← links)
- Perceived benefits and individual characteristics of internationally mobile students: a discrete latent variable analysis (Q6613581) (← links)
