Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Maria Antónia Amaral-Turkman"'
Publikováno v:
Revstat Statistical Journal, Vol 21, Iss 1 (2023)
Externí odkaz:
https://doaj.org/article/daa00ce2fe2b4d2191e5e4e37f30d12e
Autor:
Maria Antónia Amaral Turkman, Kamil Feridun Turkman, Patrícia de Zea Bermudez, Soraia Pereira, Paula Pereira, Miguel de Carvalho
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 3 (2021)
In an environmental framework, extreme values of certain spatio-temporal processes, for example wind speeds, are the main cause of severe damage in property, such as electrical networks, transport and agricultural infrastructures. Typically, as is th
Externí odkaz:
https://doaj.org/article/2c29174256cb493292d4da8e5b8d7d24
Autor:
Luzia Gonçalves, Maria Antónia Amaral Turkman, Carlos Geraldes, Tiago A. Marques, Lisete Sousa
Publikováno v:
Journal of Epidemiology and Global Health, Vol 11, Iss 2 (2021)
This manuscript brings attention to inaccurate epidemiological concepts that emerged during the COVID-19 pandemic. In social media and scientific journals, some wrong references were given to a “normal epidemic curve” and also to a “log-normal
Externí odkaz:
https://doaj.org/article/a4615c3e9c8a4cd7aecc27d8543de283
Autor:
Paula Pereira, Kamil Feridun Turkman, Maria Antónia Amaral Turkman, Ana Sá, José M.C. Pereira
Publikováno v:
Statistica, Vol 73, Iss 1, Pp 55-68 (2013)
Policy responses for local and global firemanagement depend heavily on the proper understanding of the fire extent as well as its spatio-temporal variation across any given study area. Annual fire risk maps are important tools for such policy respons
Externí odkaz:
https://doaj.org/article/1c2aeb59ffc1487a9a1d2eac847fad75
Autor:
Sílvia Nunes, Kamil Feridun Turkman, Teresa J. Calado, Carlos C. DaCamara, Maria Antónia Amaral Turkman, Ricardo M. Trigo
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 1459-1470 (2019)
Portugal is recurrently affected by large wildfire events that have serious impacts at the socio-economic and environmental levels and dramatic consequences associated with the loss of lives and the destruction of the landscape. Accordingly, seasonal
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e102380 (2014)
Covering almost a quarter of Brazil, the Cerrado is the world's most biologically rich tropical savanna. Fire is an integral part of the Cerrado but current land use and agricultural practices have been changing fire regimes, with undesirable consequ
Externí odkaz:
https://doaj.org/article/6cb513ed0ef04ac9a7a0adcc357248b8
Autor:
Tiago Reis Marques, Lisete Sousa, Carlos F. G. C. Geraldes, Luzia Gonçalves, Maria Antónia Amaral Turkman
Publikováno v:
Journal of Epidemiology and Global Health, Vol 11, Iss 2 (2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Journal of Epidemiology and Global Health
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Journal of Epidemiology and Global Health
Funding: This work was partially support by CEAUL (funded by FCT – Fundação para a Ciência e a Tecnologia, Portugal, through the project UIDB/00006/2020). This manuscript brings attention to inaccurate epidemiological concepts that emerged durin
Publikováno v:
Modeling Earth Systems and Environment. 4:199-220
Portuguese wildfires are responsible for large environmental, ecological and socio-economic impacts. This study explores the fire-environment relationships by modeling fire incidence (FI) against vegetation, precipitation and anthropogenic drivers. T
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588076
ICCSA (3)
ICCSA (3)
The area under the ROC curve (AUC) is the most commonly used index in the ROC methodology to evaluate the performance of a classifier that discriminates between two mutually exclusive conditions. The AUC can admit values between 0.5 and 1, where valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2e89700ca7660ee7cc5659e80e84860
https://doi.org/10.1007/978-3-030-58808-3_14
https://doi.org/10.1007/978-3-030-58808-3_14
Autor:
Maria Antónia Amaral Turkman
Publikováno v:
Journal of Time Series Analysis. 39:634-635