Zero-Inflated Power Series joint model to analyze count data with missing responses
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.
Journal of Statistical Theory and Practice
Volume and page numbers
6 , 334 -343
Not held in Res Lib - bibliographic reference only