Asymptotic results in censored zero-inflated Poisson regression
Van Trinh Nguyen and
Jean-François Dupuy
Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 12, 2759-2779
Abstract:
This paper investigates properties of the maximum-likelihood estimator (MLE) in the zero-inflated Poisson regression model with randomly right-censored counts. Consistency and asymptotic normality of the MLE are rigorously established. A thorough simulation study is conducted to assess the finite-sample behavior of the MLE.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1676442 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:50:y:2021:i:12:p:2759-2779
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2019.1676442
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().