Modelling polio data using the first order non-negative integer-valued autoregressive INAR(1) model.

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Modelling polio data using the first order non-negative integer-valued autoregressive INAR(1) model.

Time series data may consists of counts, such as the number of road accidents, the number of patients in a certain hospital, the number of customers waiting for service at a certain time and etc. When the value of the observations are large it is usual to use Gaussian Autoregressive Moving Average (...

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Bibliographic Details
Main Authors:	Vazifedan, Turaj, Shitan, Mahendran
Format:	Article
Language:	English English
Published:	World Scientific Publishing 2012
Online Access:	http://psasir.upm.edu.my/id/eprint/25084/ http://psasir.upm.edu.my/id/eprint/25084/1/Modelling%20polio%20data%20using%20the%20first%20order%20nonnegative%20integer-valued%20autoregressive%20INAR%281%29%20model..pdf

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