A joint model for hierarchical continuous and zero-inflated overdispersed count data

E-ISSN： 1563-5163|85|3|552-571

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.85, Iss.3, 2015-02, pp. : 552-571

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros

By Moghimbeigi Abbas

Journal of Applied Statistics, Vol. 35, Iss. 10, 2008-01 ,pp. : 1193-1202

Taylor & Francis Ltd

Access to resources Recommend Favorite

Decision tree approaches for zero-inflated count data

By Lee Seong-Keon

Journal of Applied Statistics, Vol. 33, Iss. 8, 2006-09 ,pp. : 853-865

Taylor & Francis Ltd

Access to resources Recommend Favorite

On Baseline Conditions for Zero-Inflated Longitudinal Count Data

By Maruotti Antonello Raponi Valentina

Communications in Statistics: Simulation and Computation, Vol. 43, Iss. 4, 2014-01 ,pp. : 743-760

Taylor & Francis Ltd

Access to resources Recommend Favorite

Bayesian Analysis of Semiparametric Mixed-Effects Models for Zero-Inflated Count Data

By Xue-Dong Chen

Communications in Statistics: Theory and Methods, Vol. 38, Iss. 11, 2009-01 ,pp. : 1815-1833

Taylor & Francis Ltd

Access to resources Recommend Favorite

Small Area Estimation for Zero-Inflated Data

By Chandra Hukum Sud U. C.

Communications in Statistics: Simulation and Computation, Vol. 41, Iss. 5, 2012-05 ,pp. : 632-643

Taylor & Francis Ltd

Access to resources Recommend Favorite