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Journal Article

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

Authors

Publication date

Jun 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

6 , 334 -343

ISSN

16

Subjects

Statistical Mathematics and Surveys

Notes

Not held in Res Lib - bibliographic reference only

#520826


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