Zero-Inflated Power Series joint model to analyze count data with missing responses

Publication type

Journal Article

Authors

Publication date

June 15, 2012

Summary:

A zero-inflated power series (ZIPS) joint model for count data with excess zeros and missing responses is presented. A full likelihood-based approach is implemented to obtain maximum likelihood estimates of the model parameters. The purpose of this article is to propose the mixed SEM and EM algorithms (M-SEM-EM algorithm) for parameter estimation in the likelihood function. To illustrate the utility of the proposed model, a large data set excerpted from the British Household Panel Survey (BHPS) is analyzed.

Published in

Journal of Statistical Theory and Practice

Volume and page numbers

Volume: 6 , p.334 -343

ISSN

15598608

Subjects

Notes

Not held in Res Lib - bibliographic reference only

#520826

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