An integer-valued time series model for multivariate surveillance
From MaRDI portal
Publication:6627505
DOI10.1002/sim.8453zbMATH Open1546.62588WikidataQ92250923 ScholiaQ92250923MaRDI QIDQ6627505
Dimitris Karlis, Xanthi Pedeli
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Count data regression charts for the monitoring of surveillance time series
- Surveillance: An R package for the monitoring of infectious diseases
- Some properties of multivariate INAR(1) processes
- Fisher dispersion index for multivariate count distributions: a review and a new proposal
- SPC methods for time-dependent processes of counts—A literature review
- On composite likelihood estimation of a multivariate INAR(1) model
- Some interrelations among compound and generalized distributions
- A statistical framework for the analysis of multivariate infectious disease surveillance counts
- A two-component model for counts of infectious diseases
- Counted Data CUSUM's
- The Multivariate Ginar(p) Process
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease
- Detecting mean increases in Poisson INAR(1) processes with EWMA control charts
- Multivariate outbreak detection
- A bivariate INAR(1) process with application
This page was built for publication: An integer-valued time series model for multivariate surveillance