EconPapers    
Economics at your fingertips  
 

A Copula Discretization of Time Series-Type Model for Examining Climate Data

Dimuthu Fernando, Olivia Atutey and Norou Diawara ()
Additional contact information
Dimuthu Fernando: Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC 27106, USA
Olivia Atutey: Department of Mathematics and Statistics, University of South Alabama, Mobile, AL 36688, USA
Norou Diawara: Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529, USA

Mathematics, 2024, vol. 12, issue 15, 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.

Keywords: count time series; copula; bivariate models (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/15/2419/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/15/2419/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:15:p:2419-:d:1449519

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:12:y:2024:i:15:p:2419-:d:1449519