Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum–Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data

Saulo, H, Souza, R, Vila, R et al. (2 more authors) (2021) Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum–Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data. Sensors, 21 (19). 6518. ISSN 1424-8220

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Item Type: Article
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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: ARMA models; Birnbaum–Saunders distribution; data dependent over time; maximum likelihood methods; model selection; Monte Carlo simulation; R software; residuals; sensing and data extraction
Dates:
  • Published: 1 October 2021
  • Published (online): 29 September 2021
  • Accepted: 25 September 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Oct 2021 09:17
Last Modified: 10 Nov 2021 12:15
Status: Published
Publisher: MDPI
Identification Number: 10.3390/s21196518
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