Document Type
Article
Publication Date
2024
DOI
10.3390/math12152419
Publication Title
Mathematics
Volume
12
Issue
15
Pages
2419 (1-13)
Abstract
The study presents a comparative analysis of climate data under two scenarios: a Gaussian copula marginal regression model for count time series data and a copula-based bivariate count time series model. These models, built after comprehensive simulations, offer adaptable autocorrelation structures considering the daily average temperature and humidity data observed at a regional airport in Mobile, AL.
Rights
© 2024 by the authors.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Data Availability
Article states: "The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author."
Original Publication Citation
Fernando, D., Atutey, O., & Diawara, N. (2024). A copula discretization of time series-type model for examining climate data. Mathematics, 12(15), 1-13, Article 2419. https://doi.org/10.3390/math12152419
ORCID
0000-0002-8403-6793 (Diawara)
Repository Citation
Fernando, Dimuthu; Atutey, Olivia; and Diawara, Norou, "A Copula Discretization of Time Series-Type Model for Examining Climate Data" (2024). Mathematics & Statistics Faculty Publications. 259.
https://digitalcommons.odu.edu/mathstat_fac_pubs/259