Modeling rounded counts using a zero-inflated mixture of power series family of distributions

Autor:	Sayed Jamal Mirkamali
Rok vydání:	2022
Předmět:	Statistics and Probability Models Statistical Health Information Management Epidemiology Computer Simulation Poisson Distribution Algorithms
Zdroj:	Statistical Methods in Medical Research. 31:1313-1324
ISSN:	1477-0334 0962-2802
Popis:	This paper proposes an extension of zero-inflated models for analyzing rounded counting outcomes. A zero-inflated mixture of power series is proposed, and the EM algorithm is developed to estimate parameters. The accuracy of estimators is evaluated using a simulation study. The results of simulations show that the estimation procedure is successful and estimates are accurate. An application of our models for analyzing the number of cigarettes smoked per day of respondents for the American’s Changing Lives study is enclosed. The proposed model best fits the data and the relationships between rounded counts and other covariates revealed by proposed regression models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2eba91c545b8d802d5cdddb82767b8a https://doi.org/10.1177/09622802221089031 Zobrazit plný text záznamu