Modeling dropouts by conditional distribution, a copula-based approach

DOI10.1016/j.jspi.2009.05.020zbMath1169.62327OpenAlexW1996990366MaRDI QIDQ840738

Meelis Käärik, Ene Käärik

Publication date: 14 September 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.05.020

zbMATH Keywords

imputationGaussian copuladropoutmonotone missingness

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (4)

Vine Copulas for Imputation of Monotone Non‐response ⋮ Imputation by Gaussian Copula Model with an Application to Incomplete Customer Satisfaction Data ⋮ Bayesian semiparametric copula estimation with application to psychiatric genetics ⋮ Exploring copulas for the imputation of complex dependent data

Cites Work

• An introduction to copulas. Properties and applications
• Conditionally specified distributions: An introduction. (With comments and a rejoinder).
• Correlations and Copulas for Decision and Risk Analysis
• Multivariate Dispersion Models Generated From Gaussian Copula
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