Zero-Inflated Power Series Joint Model to Analyze Count Data with Missing Responses
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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.
AMS Subject Classification62P99
Key-wordsEM algorithm; Excess zeros Generalized linear mixed model Missing Responses Stochastic EM algorithm Zero-inflated model
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