Statistical modeling of maximum temperature in Guinea.


Journal

Anais da Academia Brasileira de Ciencias
ISSN: 1678-2690
Titre abrégé: An Acad Bras Cienc
Pays: Brazil
ID NLM: 7503280

Informations de publication

Date de publication:
2024
Historique:
received: 08 02 2023
accepted: 19 02 2024
medline: 29 5 2024
pubmed: 29 5 2024
entrez: 29 5 2024
Statut: epublish

Résumé

A statistical analysis of maximum temperature from twelve weather stations in parts of Guinea is provided. Using maximum likelihood estimation, maximum temperature data was fitted by the Generalized Extreme Value distribution. Data from all of the twelve stations were adequately fit by the Generalized Extreme Value distribution. Return level estimates are provided. Significant trends in maximum temperature were found for four of the stations. The four stations exhibited significant positive trends at the 5% significance level.

Identifiants

pubmed: 38808875
pii: S0001-37652024000201101
doi: 10.1590/0001-3765202420230126
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20230126

Auteurs

Malick Kebe (M)

Department of Mathematics, Howard University, Washington DC 20051, USA.

Saralees Nadarajah (S)

Department of Mathematics, University of Manchester, Manchester M13 9PL, UK.

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Classifications MeSH