Higher-Order INAR Model Based on a Flexible Innovation and Application to COVID-19 and Gold Particles Data

Higher-Order INAR Model Based on a Flexible Innovation and Application to COVID-19 and Gold Particles Data

INAR models have the great advantage of being able to capture the conditional distribution of a count time series based on their past observations, thus allowing it to be tailored to meet the unique characteristics of count data. This paper reviews the two-parameter Poisson extended exponential (PEE...

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Bibliographic Details
Main Authors: Fatimah E. Almuhayfith, Anuresha Krishna, Radhakumari Maya, Muhammad Rasheed Irshad, Hassan S. Bakouch, Munirah Almulhim
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Axioms
Subjects:
INAR models
overdispersion
count time series
simulation
estimation
COVID-19
Online Access:https://www.mdpi.com/2075-1680/13/1/32

Internet

https://www.mdpi.com/2075-1680/13/1/32

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