Title
Some Estimation And Forecasting Procedures In Possion-Lindley Inar(1) Process
Abstract
We study the estimation and forecasting in first-order integer-valued autoregressive process with Poisson-Lindley (PLINAR(1)) marginal distribution (Mohammadpour et al.). Quasi-likelihood estimators are proposed for the parameters of interest and their asymptotic properties are derived. Two methods for coherent point prediction are given and the prediction intervals for future data are constructed. We present some simulations to verify rationality of the proposed estimation and prediction methods. An application to a real data about animal's anorexia is also provided.
Year
DOI
Venue
2021
10.1080/03610918.2018.1547402
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Forecasting, INAR models, Poisson-Lindley distribution, Prediction interval, Quasi-likelihood
Journal
50
Issue
ISSN
Citations 
1
0361-0918
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yu Wang181.31
Haixiang Zhang26412.19