A local correlation integral method for outlier detection in spatially correlated functional data (English)
- New search for: Sosa, Jorge
- New search for: Moraga, Paula
- New search for: Flores, Miguel
- New search for: Mateu, Jorge
- New search for: Sosa, Jorge
- New search for: Moraga, Paula
- New search for: Flores, Miguel
- New search for: Mateu, Jorge
In:
Stochastic Environmental Research and Risk Assessment
;
38
, 3
;
1197-1211
;
2024
- Article (Journal) / Electronic Resource
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Title:A local correlation integral method for outlier detection in spatially correlated functional data
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Additional title:Stoch Environ Res Risk Assess
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Contributors:Sosa, Jorge ( author ) / Moraga, Paula ( author ) / Flores, Miguel ( author ) / Mateu, Jorge ( author )
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Published in:Stochastic Environmental Research and Risk Assessment ; 38, 3 ; 1197-1211
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Publisher:
- New search for: Springer Berlin Heidelberg
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Place of publication:Berlin/Heidelberg
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Publication date:2024-03-01
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:Outlier detection , Functional data analysis , LOCI , Random fields , Spatial correlation , Spatial statisticsEnvironment , Math. Appl. in Environmental Science , Earth Sciences, general , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences , Computational Intelligence , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Earth and Environmental Science
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Source:
Table of contents – Volume 38, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 817
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Tsunami insurance portfolio optimization for coastal residential buildings under non-stationary sea level rise effects based on sample average approximationAlhamid, Abdul Kadir / Akiyama, Mitsuyoshi / Koshimura, Shunichi / Frangopol, Dan M. / So, Higuma et al. | 2024
- 843
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Multi-distribution regula-falsi profile likelihood method for nonstationary hydrological frequency analysisVidrio-Sahagún, Cuauhtémoc Tonatiuh / He, Jianxun / Pietroniro, Alain et al. | 2024
- 869
-
Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-netHe, Tianhao / Chang, Haibin / Zhang, Dongxiao et al. | 2024
- 901
-
Investigation of topographic amplification on ground motions considering spatial variability of soil propertiesFang, Hongjie / Wu, Yingxiong / Qu, Chuanxiang / Lin, Youhan et al. | 2024
- 923
-
Quantifying aquifer contamination risk from casing rupture using support vector machine: a comprehensive assessmentLiu, Yuyi / Yang, Diansen / Bian, Hanbing et al. | 2024
- 937
-
Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in SloveniaSezen, Cenk / Šraj, Mojca et al. | 2024
- 963
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Assessment of regional drought risk coupled with drought response capacity considering water supply systemsKim, Ji Eun / Lee, Joo-Heon / Kim, Tae-Woong et al. | 2024
- 981
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Rockburst risk assessment model based on improved catastrophe progression method and its applicationXing, Wenbin / Wang, Hanpeng / Fan, Jianguo / Wang, Wei / Yu, Xinping et al. | 2024
- 993
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Particle swarm and grey wolf optimization: enhancing groundwater quality models through artificial neural networksSahour, Soheil / Khanbeyki, Matin / Gholami, Vahid / Sahour, Hossein / Karimi, Hadi / Mohammadi, Mohsen et al. | 2024
- 1009
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Integrated geospatial approach for adaptive rainwater harvesting site selection under the impact of climate changeAl-Hasani, Ban / Abdellatif, Mawada / Carnacina, Iacopo / Harris, Clair / Al-Quraishi, Ayad / Maaroof, Bashar F. / Zubaidi, Salah L. et al. | 2024
- 1035
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Efficacy of Tsallis entropy for velocity estimation in an alluvial channel under different experimental scenariosRoy, Mrinal / Patel, Harish Kumar / Arora, Sukhjeet / Kumar, Bimlesh et al. | 2024
- 1051
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Uncertainty analysis of simplified 1D and 2D shallow water equations via the Karhunen–Loéve expansion and Monte Carlo simulationsMalekhosseini, Seyed Hamed / Khorshidi, Hossein / Szymkiewicz, Romuald et al. | 2024
- 1071
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Generation Mechanisms and Probabilistic Assessment of Peak Spring Streamflow in the Canadian PrairiesZaghloul, Mohanad A. / Papalexiou, Simon Michael et al. | 2024
- 1089
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Fully Bayesian economically optimal design for a spatially varying coefficient linear stochastic plateau model over multiple yearsPoursina, Davood / Brorsen, B. Wade et al. | 2024
- 1099
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How do financial institutions and markets impact the ecological footprint in Saudi Arabia? A nonlinear cointegration approachRaggad, Bechir / Ben-Salha, Ousama / Zrelly, Houyem / Jbir, Rafik et al. | 2024
- 1121
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A new integrated prediction method of river level based on spatiotemporal correlationLi, Yanfei / Su, Mengshuai / Duan, Zhu / Liu, Hui et al. | 2024
- 1145
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Multifractal property change of NOx and O3 variations in port area in responding to COVID-19 lockdownZhao, Hongmei / He, Hongdi / Wu, Cuilin / Zhu, Xinghang / Zhou, Dai / Peng, Zhongren et al. | 2024
- 1163
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Characterization of annual urban air temperature changes with special reference to the city of Modena: a comparison between regression models and a proposal for a new index to evaluate relationships between environmental variablesMorlini, Isabella / Albertson, Sean / Orlandini, Stefano et al. | 2024
- 1179
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Integration of three drought indices based on triple collocation and multi-scalar weighted amalgamated drought indexBadar, Zanib / Almazah, Mohammed M. A. / Raza, Muhammad Ahmad / Hussain, Ijaz / Al-Duais, Fuad S. / Al-Rezami, A. Y. et al. | 2024
- 1197
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A local correlation integral method for outlier detection in spatially correlated functional dataSosa, Jorge / Moraga, Paula / Flores, Miguel / Mateu, Jorge et al. | 2024
- 1213
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Correction: Short-term urban water demand forecasting; application of 1D convolutional neural network (1D CNN) in comparison with different deep learning schemesNamdari, Hossein / Haghighi, Ali / Ashrafi, Seyed Mohammad et al. | 2024