A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses

DOI10.1080/02664763.2015.1134448OpenAlexW2340285424MaRDI QIDQ5138153

E. Bahrami Samani, Farzaneh Razie, Mojtaba Ganjali

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1134448

zbMATH Keywords

random effects\((k,l)\)-inflated power series distributionAdd Health data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Analysis of mixed correlated bivariate zero-inflated count and(k,l)-inflated beta responses with application to social network datasets ⋮ Joint modeling for longitudinal set-inflated continuous and count responses ⋮ Analysis of mixed longitudinal (k,l)-Inflated power series, ordinal and continuous responses with sensitivity analysis to non-ignorable missing mechanism ⋮ Joint (k, l)-hurdle random effects models for mixed longitudinal power series and normal outcomes

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