Zero-inflated power series joint model to analyze count data with missing responses

DOI10.1080/15598608.2012.673892zbMath1425.62039OpenAlexW1979627248MaRDI QIDQ2320765

Yanyan Li

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2012.673892

zbMATH Keywords

parameter estimationgeneralized linear mixed modelstochastic EM algorithmmissing responsesexcess zeroszero-inflated modelEM Algorithm

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (6)

Analysis of mixed longitudinal (k,l)-Inflated power series, ordinal and continuous responses with sensitivity analysis to non-ignorable missing mechanism ⋮ Analysis of mixed correlated semi-continuous and β-inflated Poisson responses ⋮ Likelihood-based tests in zero-inflated power series models ⋮ A general location model with zero-inflated counts and skew normal outcomes ⋮ Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods ⋮ Joint (k, l)-hurdle random effects models for mixed longitudinal power series and normal outcomes

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• Random effect models for repeated measures of zero-inflated count data
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