Modelling bivariate count series with excess zeros

Modelling bivariate count series with excess zeros

Bivariate time series of counts with excess zeros relative to the Poisson process are common in many bioscience applications. Failure to account for the extra zeros in the analysis may result in biased parameter estimates and misleading inferences. A class of bivariate zero-inflated Poisson autoregr...

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Bibliographic Details
Main Authors: Lee, Andy, Wang, Kui, Carrivick, Philip, Yau, K., Stevenson, M.
Format: Journal Article
Published: Elsevier 2005
Subjects:
Zero-inflated Poisson model
Random effects
Autoregression
EM algorithm
Zero-inflation
Bivariate Poisson
Online Access:http://hdl.handle.net/20.500.11937/27575

Internet

http://hdl.handle.net/20.500.11937/27575

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