Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Salaheddine El Adlouni"'
Publikováno v:
Journal of Hydrologic Engineering. 28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a37c3e960aba0922ddff8f14049e0a8
https://doi.org/10.1061/jhyeff.heeng-5831
https://doi.org/10.1061/jhyeff.heeng-5831
Autor:
Ismaila Baldé, Salaheddine El Adlouni
Publikováno v:
Journal of Statistical Computation and Simulation. 89:884-898
Quantile regression is a very important statistical tool for predictive modelling and risk assessment. For many applications, conditional quantile at different levels are estimated separately. Cons...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4495d07d8d418791ca4114ccc28831ac
https://doi.org/10.1080/00949655.2019.1573899
https://doi.org/10.1080/00949655.2019.1573899
Publikováno v:
Frontiers in Public Health
Frontiers in Public Health, Vol 9 (2021)
Frontiers in Public Health, Vol 9 (2021)
Objectives: The aim of this paper is to assess the odds of suffering from anxiety or depression symptoms based on the presence of certain determinants of health for youth living in the province of New Brunswick, Canada, and in two linguistically diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88454ec1907f047b5951cdec8d24a9c0
http://europepmc.org/articles/PMC8261057
http://europepmc.org/articles/PMC8261057
Autor:
Salaheddine El Adlouni
Publikováno v:
Natural Hazards. 94:299-317
A spatial quantile regression model is proposed to estimate the quantile curve for a given probability of non-exceedance, as function of locations and covariates. Canonical vines copulas are considered to represent the spatial dependence structure. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71177be80693675dbf88bdbd297a687e
https://doi.org/10.1007/s11069-018-3389-6
https://doi.org/10.1007/s11069-018-3389-6
Publikováno v:
International Journal of Climatology. 38:e875-e888
Quantile estimates are generally interpreted in association with the return period concept in practical engineering. To do so with the peaks‐over‐threshold (POT) approach, combined Poisson‐generalized Pareto distributions (referred to as PD‐G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd357cfdf5112d860ec36db8edd507b
https://doi.org/10.1002/joc.5415
https://doi.org/10.1002/joc.5415
Publikováno v:
Environmental Modelling & Software. 144:105138
Previous criticisms of knowledge-based fuzzy logic modelling have identified some of its limitations and revealed weaknesses regarding the development of fuzzy sets, the integration of expert knowledge, and the outcomes of different defuzzification p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5a2ffed0d6c9846ba97c306a268032f
https://doi.org/10.1016/j.envsoft.2021.105138
https://doi.org/10.1016/j.envsoft.2021.105138
Autor:
Alida Nadège Thiombiano, Salaheddine El Adlouni, Daniel Caissie, Jasmin Boisvert, Nassir El-Jabi
Publikováno v:
Canadian Journal of Civil Engineering. 44:829-837
The availability of hydrometric data, as well as its spatial distribution, is important for water resources management. An overly dense network or an under developed network can cause inaccurate hydrological regional estimates. The objective of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461f2186429b0a4dab20eee79acec0e6
https://doi.org/10.1139/cjce-2016-0487
https://doi.org/10.1139/cjce-2016-0487
Publikováno v:
Communications in Statistics - Simulation and Computation. 47:277-293
A number of nonstationary models have been developed to estimate extreme events as function of covariates. A quantile regression (QR) model is a statistical approach intended to estimate and conduct inference about the conditional quantile functions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4f33c74f927c2901f46446c7fecefc
https://doi.org/10.1080/03610918.2017.1280830
https://doi.org/10.1080/03610918.2017.1280830
Autor:
Salaheddine El Adlouni, Nawres Yousfi
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 31:535-550
Large observed datasets are not stationary and/or depend on covariates, especially, in the case of extreme hydrometeorological variables. This causes the difficulty in estimation, using classical hydrological frequency analysis. A number of non-stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5346cc39a87f5bfcdee3e0ce4618f49
https://doi.org/10.1007/s00477-016-1295-6
https://doi.org/10.1007/s00477-016-1295-6
Autor:
Taha B. M. J. Ouarda, Alida Nadège Thiombiano, Salaheddine El Adlouni, André St-Hilaire, Nassir El-Jabi
Publikováno v:
Theoretical and Applied Climatology. 129:413-426
In this paper, a statistical inference of Southeastern Canada extreme daily precipitation amounts is proposed using a classical nonstationary peaks-over-threshold model. Indeed, the generalized Pareto distribution (GPD) is fitted to excess time serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b6cb28ba7a1e286202cabaeb7d03ed
https://doi.org/10.1007/s00704-016-1789-7
https://doi.org/10.1007/s00704-016-1789-7