المؤلفون: A. Saad, Th. Abdel Fattah, H. Holial, A.I. Diab, S. Abou Shagar

المصدر: Alexandria Engineering Journal, Vol 66, Iss , Pp 669-690 (2023)

مصطلحات موضوعية: Abu Gharadig Basin, Upper Bahariya, Abu Roash “G”, Regional structure map, Structure uncertainty, New hydrocarbon Leads, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016822008043; https://doaj.org/toc/1110-0168

URL الوصول: https://doaj.org/article/54b1b68465114e4cafe36d36fe1769ff

المؤلفون: Xiaozhuo SUN, Xiankui ZENG, Jichun WU, Yuanyuan SUN

المصدر: Shuiwen dizhi gongcheng dizhi, Vol 48, Iss 6, Pp 24-33 (2021)

مصطلحات موضوعية: model structure uncertainty, data-driven method, gaussian process regression, mcmc, solute transport, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1000-3665

URL الوصول: https://doaj.org/article/d46c1d2812d54a1d9735c60b315d3c3c

المؤلفون: E. Danchenko, O. Bakulich, P. Teslenko, D. Bedrii, O. Bielova, I. Semko

المصدر: Scientific Journal of Astana IT University, Vol 0, Iss 5, Pp 63-76 (2021)

مصطلحات موضوعية: information technology, scientific project, integrated risk management, information base structure, uncertainty conditions, behavioral economics., Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: http://ojs.astanait.edu.kz/index.php/sjaitu/article/view/48; https://doaj.org/toc/2707-9031; https://doaj.org/toc/2707-904X

URL الوصول: https://doaj.org/article/f450a95364a74d658613467eb727f3be

المؤلفون: Knoben, Wouter J. M., Spieler, Diana

مصطلحات موضوعية: Lehre, hydrologische Modellierung, Modellstruktur, unsichere Daten, Modellparameter, teaching, hydrological modelling, model structure, uncertainty in data, model parameters, info:eu-repo/classification/ddc/550, ddc:550

الاتاحة: https://tud.qucosa.de/id/qucosa%3A91528
https://tud.qucosa.de/api/qucosa%3A91528/attachment/ATT-0/

المؤلفون: Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Hochman, Zvi, Andrianasolo, Fety, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Gayler, Sebastian, Hiremath, Santosh, Hoek, Steven, Horan, Heidi, Hoogenboom, Gerrit, Huang, Mingxia, Jabloun, Mohamed, Jansson, Per-Erik, Jing, Qi, Justes, Eric, Kersebaum, Kurt Christian, Launay, Marie, Lewan, Elisabet, Luo, Qunying, Maestrini, Bernardo, Moriondo, Marco, Olesen, Jørgen Eivind, Padovan, Gloria, Poyda, Arne, Priesack, Eckart, Pullens, Johannes Wilhelmus Maria, Qian, Budong, Schütze, Niels, Shelia, Vakhtang, Souissi, Amir, Specka, Xenia, Kumar Srivastava, Amit, Stella, Tommaso, Streck, Thilo, Trombi, Giacomo, Wallor, Evelyn, Wang, Jing, Weber, Tobias K.D., Weihermüller, Lutz, de Wit, Allard, Wöhling, Thomas, Xiao, Liujun, Zhao, Chuang, Zhu, Yan, Seidel, Sabine

المساهمون: AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole d'Ingénieurs de Purpan (INP - PURPAN), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Natural Resources Institute Finland (LUKE), Commonwealth Scientific and Industrial Research Organisation Australia (CSIRO), ARVALIS - Institut du Végétal Boigneville, ARVALIS - Institut du végétal Paris, University of Florida Gainesville (UF), Department of Agricultural and Biological Engineering Gainesville (UF|ABE), Institute of Food and Agricultural Sciences Gainesville (UF|IFAS), University of Florida Gainesville (UF)-University of Florida Gainesville (UF), Michigan State University East Lansing, Michigan State University System, DEPARTMENT OF EARTH AND ENVIRONMENTAL SCIENCES MICHIGAN STATE UNIVERSITY USA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Nottingham, UK (UON), Gembloux Agro-Bio Tech Faculté universitaire des sciences agronomiques de Gembloux ( FUSAGx ), Université de Liège, Department Terra & AgroBioChem, Gembloux Agro‐Bio Tech, Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI), Department of Agriculture, Food, Environment and Forestry (DAGRI), Universität Bonn = University of Bonn, Institute of Crop Science and Resource Conservation Bonn (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Universität Hohenheim = University of Hohenheim, Institute of Soil Science and Land Evaluation, Soil Biology Section, Aalto University School of Science and Technology Aalto, Finland, Wageningen University and Research Wageningen (WUR), CSIRO Agriculture and Food (CSIRO AF), Food Systems Institute Gainesville (UF|IFAS), China Agriculture University Beijing, College of Resources and Environmental Sciences, China Agricultural University (CAU), KTH Royal Institute of Technology Stockholm (KTH), Agriculture and Agri-Food (AAFC), Ottawa Research and Development Center, Agrosystèmes Biodiversifiés (UMR ABSys), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Global Change Research Centre (CzechGlobe), Agroclim (AGROCLIM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet (SLU), Hillridge Technology Pty Ltd, Institute for BioEconomy Sesto Fiorentino (IBE, National Research Council of Italy, Aarhus University Aarhus, Christian-Albrechts-Universität zu Kiel = Christian-Albrechts University of Kiel = Université Christian-Albrechts de Kiel (CAU), Institute of Crop Science and Plant Breeding, Helmholtz Zentrum München = German Research Center for Environmental Health (HMGU), German Res Ctr Environm Hlth, Partenaires INRAE, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Université de Carthage (Tunisie) (UCAR), Institut National de la Recherche Agronomique de Tunisie (INRAT), Forschungszentrum Jülich GmbH, Helmholtz-Gemeinschaft = Helmholtz Association, Institute of Bio- and Geosciences Jülich (IBG), Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Lincoln Agritech Ltd, Nanjing Agricultural University (NAU), National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricutural University, This work was in part supported by the Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework), funded by the German Research Foundation (DFG, Grant Agreement SFB 1253/1 2017), the Academy of Finland through projects AI-CropPro (316172 and 315896) and DivCSA (316215) and Natural Resources Institute Finland (Luke) through a strategic project BoostIA, the BonaRes projects "Soil3" (BOMA 03037514) and "I4S" (031B0513I) of the Federal Ministry of Education and Research (BMBF), Germany, the German Research Foundation (DFG) under Germany's Excellence Strategy -EXC 2070 -390732324, the project BiomassWeb of the GlobeE programme (Grant number: FKZ031A258B) funded by the Federal Ministry of Education and Research (BMBF, Germany), the EU funded SustEs project (CZ.02.1.01/0.0/0.0/16_019/0000797), the INRAE ACCAF metaprogramme, the German Federal Ministry of Education and Research (BMBF) in the framework of the funding measure "Soil as a Sustainable Resource for the Bioeconomy -BonaRes", project "BonaRes (Module B): BonaRes Centre for Soil Research, subproject B" (grant 031B0511B), the National Key Research and Development Program of China (2017YFD0300205), the National Science Foundation for Distinguished Young Scholars (31725020), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 project (B16026), and China Scholarship Council, the Agriculture and AgriFood Canada's Project 1387 under the Canadian Agricultural Partnership, the DFG Research Unit FOR 1695 `Agricultural Landscapes under Global Climate Change -Processes and Feedbacks on a Regional Scale, the U.S. Department of Agriculture (USDA), National Institute of Food and Agriculture (award no. 2015-68007-23133) and USDA/NIFA HATCH grant N. MCL02368, the National Key Research and Development Program of China (2016YFD0300105), The Broadacre Agriculture Initiative, a research partnership between University of Southern Queensland and the Queensland Department of Agriculture and Fisheries, the JPI FACCE MACSUR2 project, funded by the Italian Ministry for Agricultural, Food, and Forestry Policies (D.M. 24064/7303/15 of 26/Nov/2015). The field work was jointly funded by CSIRO and the Grains Research and Development Corporation (GRDC) under the "Adding Value to GRDC's National Variety Trial Network" project (CSA00027). The order in which the donors are listed is arbitrary.

المصدر: ISSN: 0168-1923 ; Agricultural and Forest Meteorology ; https://hal.inrae.fr/hal-03119039 ; Agricultural and Forest Meteorology, 2021, 298-299, ⟨10.1016/j.agrformet.2020.108289⟩ ; https://www.sciencedirect.com/science/article/pii/S0168192320303919.

مصطلحات موضوعية: Evaluation, Phenology, Wheat, Australia, Structure uncertainty, Parameter uncertainty, [SDE]Environmental Sciences

Relation: WOS: 000610797100011

الاتاحة: https://hal.inrae.fr/hal-03119039
https://hal.inrae.fr/hal-03119039v1/document
https://hal.inrae.fr/hal-03119039v1/file/2020.06.06.133504v3.full.pdf
https://doi.org/10.1016/j.agrformet.2020.108289

المساهمون: Wallach, D, Palosuo, T, Thorburn, P, Hochman, Z, Andrianasolo, F, Asseng, S, Basso, B, Buis, S, Crout, N, Dumont, B, Ferrise, R, Gaiser, T, Gayler, S, Hiremath, S, Hoek, S, Horan, H, Hoogenboom, G, Huang, M, Jabloun, M, Jansson, P-E, Jing, Q, Justes, E, Kersebaum, KC, Launay, M, Lewan, E, Luo, Q, Maestrini, B, Moriondo, M, Olesen, JE, Padovan, G, Poyda, A, Priesack, E, Pullens, JWM, Qian, B, Schütze, N, Shelia, V, Souissi, A, Specka, X, Kumar Srivastava, A, Stella, T, Streck, T, Trombi, G, Wallor, E, Wang, J, Weber, TKD, Weihermüller, L, de Wit, A, Wöhling, T, Xiao, L, Zhao, C, Zhu, Y, Seidel, SJ

وصف الملف: 10 pages

Relation: The original publication is available from Elsevier - https://doi.org/10.1016/j.agrformet.2020.108289 - http://dx.doi.org/10.1016/j.agrformet.2020.108289; Agricultural and Forest Meteorology

الاتاحة: http://api.digitalnz.org/records/56062557/source

المؤلفون: Remmers, Janneke O.E., Teuling, Adriaan J., Melsen, Lieke A.

المصدر: Environmental Modelling and Software 133 (2020) ; ISSN: 1364-8152

مصطلحات موضوعية: Dendrogram, Model genealogy, Model structure uncertainty, Modular modelling framework, Sampling model space, Signatures

وصف الملف: application/pdf

Relation: https://edepot.wur.nl/530365

الاتاحة: https://research.wur.nl/en/publications/can-model-structure-families-be-inferred-from-model-output
https://doi.org/10.1016/j.envsoft.2020.104817

المؤلفون: Knoben, Wouter J M, Freer, Jim E, Peel, Murray, Fowler, K J A, Woods, Ross A

المصدر: Knoben , W J M , Freer , J E , Peel , M , Fowler , K J A & Woods , R A 2020 , ' A brief analysis of conceptual model structure uncertainty using 36 models and 559 catchments ' , Water Resources Research , vol. 56 , no. 9 , e2019WR025975 . https://doi.org/10.1029/2019WR025975

مصطلحات موضوعية: /dk/atira/pure/core/keywords/water_and_environmental_engineering, name=Water and Environmental Engineering, conceptual model comparison, model structure uncertainty, catchment modeling

وصف الملف: application/pdf

الاتاحة: https://hdl.handle.net/1983/7bd40faa-b2b7-4a4b-97b6-2281e93561b9
https://research-information.bris.ac.uk/en/publications/7bd40faa-b2b7-4a4b-97b6-2281e93561b9
https://doi.org/10.1029/2019WR025975
https://research-information.bris.ac.uk/ws/files/252532483/2019WR025975.pdf

المؤلفون: Broekhuizen, Ico, Muthanna, Tone M., Leonhardt, Günther, 1978, Viklander, Maria

المصدر: Journal of Hydrology X. 5

مصطلحات موضوعية: Model structure uncertainty, Urban drainage, Green areas, Runoff, Infiltration, Stormwater models, VA-teknik, Urban Water Engineering, Centrumbildning - Centrum för dagvattenhantering (DRIZZLE), Centre - Centre for Stormwater Management (DRIZZLE)

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76902
https://doi.org/10.1016/j.hydroa.2019.100044
https://ltu.diva-portal.org/smash/get/diva2:1373819/FULLTEXT01.pdf

المؤلفون: O. Bakulich, O. Bielova, D. Bedrii, E. Danchenko, I. Semko, P. Teslenko

المصدر: Scientific Journal of Astana IT University, Vol 0, Iss 5, Pp 63-76 (2021)

مصطلحات موضوعية: business.industry, scientific project, Information technology, integrated risk management, behavioral economics, information technology, scientific project, integrated risk management, information base structure, uncertainty conditions, behavioral economics, General Medicine, T58.5-58.64, information base structure, information technology, Risk analysis (engineering), business, Risk management, uncertainty conditions

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643d4c3e29c8adbd171a67848d6f7253
http://ojs.astanait.edu.kz/index.php/sjaitu/article/view/48

المؤلفون: Zischg, J., Mair, M., Rauch, W., Sitzenfrei, R.

مصطلحات موضوعية: hydraulic simulation, network structure uncertainty, performance assessment, scenarioanalysis, water distribution benchmarking

جغرافية الموضوع: UI:TW:AU

وصف الملف: text/html

Relation: vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:3-5069/128; urn:nbn:at:at-ubi:3-5069; https://resolver.obvsg.at/urn:nbn:at:at-ubi:3-5069; local:99144876522003331; system:AC15270397

الاتاحة: https://doi.org/10.3390/w9090715
https://diglib.uibk.ac.at/doi/10.3390/w9090715
https://resolver.obvsg.at/urn:nbn:at:at-ubi:3-5069

المؤلفون: Wagner, Sven, Nocentini, Susanna, Huth, Franka, Hoogstra-Klein, Marjanke

مصطلحات موضوعية: Klimawandel, ökologische Stabilität, Ökosystemdienstleistungen, Waldmanagementstrategien , Flexibilität, Waldstruktur, Unsicherheit, TU Dresden, Publikationsfonds, climate change, ecological resilience, ecosystem services, forest management strategies, flexibility, forest structure, uncertainty, Technical University Dresden, Publication funds, info:eu-repo/classification/ddc/570, ddc:570

الاتاحة: https://tud.qucosa.de/id/qucosa%3A28151
https://tud.qucosa.de/api/qucosa%3A28151/attachment/ATT-0/

المؤلفون: Chapagain, R, Jonathan Ojeda, Caroline Mohammed, Brown, J, Tomas Remenyi, Harris, R

مصطلحات موضوعية: Agricultural spatial analysis and modelling, Agricultural systems analysis and modelling, Modelling and simulation, modelling, input uncertainty, structure uncertainty, parameter uncertainty, data

Relation: 102.100.100/507947; https://figshare.com/articles/conference_contribution/Historical_and_current_approaches_to_decompose_uncertainty_in_crop_model_predictions/23153414

الاتاحة: https://figshare.com/articles/conference_contribution/Historical_and_current_approaches_to_decompose_uncertainty_in_crop_model_predictions/23153414

المؤلفون: Ross Woods, Jim Freer, Murray C. Peel, Keirnan Fowler, Wouter J. M. Knoben

المصدر: Knoben, W J M, Freer, J E, Peel, M, Fowler, K J A & Woods, R A 2020, ' A brief analysis of conceptual model structure uncertainty using 36 models and 559 catchments ', Water Resources Research, vol. 56, no. 9, e2019WR025975 . https://doi.org/10.1029/2019WR025975

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Relation (database), Calibration (statistics), media_common.quotation_subject, 0208 environmental biotechnology, catchment modeling, 02 engineering and technology, Equifinality, Overfitting, 01 natural sciences, 020801 environmental engineering, model structure uncertainty, Benchmark (surveying), Streamflow, Econometrics, Conceptual model, Environmental science, Parametrization (atmospheric modeling), conceptual model comparison, 0105 earth and related environmental sciences, Water Science and Technology, media_common

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e2de14b45032c07926e9bc729cbd0d6
https://doi.org/10.1029/2019wr025975

المؤلفون: Mustafa, Syed Touhidul, Nossent, Jiri, Ghysels, Gert, Huysmans, Marijke

المصدر: Environmental Modelling and Software 126 (2020) ; ISSN: 1364-8152

مصطلحات موضوعية: Bayesian approach, Bayesian model averaging, Conceptual model structure uncertainty, Groundwater flow model, Input uncertainty, Uncertainty quantification

وصف الملف: text/html

Relation: https://edepot.wur.nl/579860

الاتاحة: https://research.wur.nl/en/publications/integrated-bayesian-multi-model-approach-to-quantify-input-parame
https://doi.org/10.1016/j.envsoft.2020.104654

المؤلفون: Remmers, Janneke

المصدر: International Congress on Environmental Modelling and Software

مصطلحات موضوعية: Model structure uncertainty, Modular Modelling Framework, Model genealogy, Dendrogram, Sampling model space

وصف الملف: application/pdf

Relation: https://scholarsarchive.byu.edu/iemssconference/2020/Stream-D/38; https://scholarsarchive.byu.edu/context/iemssconference/article/4949/viewcontent/D7_04_Remmers_Final.pdf

الاتاحة: https://scholarsarchive.byu.edu/iemssconference/2020/Stream-D/38
https://scholarsarchive.byu.edu/context/iemssconference/article/4949/viewcontent/D7_04_Remmers_Final.pdf

المؤلفون: Sébastien Roux

المساهمون: Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

المصدر: Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2017, 97, pp.86-92. ⟨10.1016/j.envsoft.2017.07.001⟩

مصطلحات موضوعية: [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 0106 biological sciences, structure uncertainty, Environmental Engineering, surface runoff, Runoff curve number, 01 natural sciences, Vineyard, sensitivity analysis, Uncertainty quantification, Water content, 2. Zero hunger, Hydrology, curve number, Ecological Modeling, 04 agricultural and veterinary sciences, viticulture, 15. Life on land, Runoff model, vineyard model, modèle de récolte, Soil water, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Surface runoff, Cropping, Software, 010606 plant biology & botany

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51bd9a8c0d0440b0b9a20bea892ba984
https://doi.org/10.1016/j.envsoft.2017.07.001

المؤلفون: Noble, Gregory W., author

المصدر: The Third Globalization : Can Wealthy Nations Stay Rich in the Twenty-First Century?, 2013.

الاتاحة: https://doi.org/10.1093/acprof:oso/9780199917822.003.0004

المؤلفون: Broekhuizen, Ico, Muthanna, Tone Murete, Leonhardt, Günther, 1978, Viklander, Maria

المصدر: 14th IWA/IAHR International Conference on Urban Drainage. :1490-1494

مصطلحات موضوعية: infiltration modelling, model structure uncertainty, MOUSE, pervious areas, SWMM, VA-teknik, Urban Water Engineering

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-66891

المؤلفون: Janan Arslan, Gihan Samarasinghe, Kurt K. Benke, Robyn H. Guymer, Paul N. Baird, Arcot Sowmya

المصدر: Translational Vision Science & Technology

مصطلحات موضوعية: 0301 basic medicine, Coefficient of determination, Scale (ratio), Correlation coefficient, Biomedical Engineering, Retina, Article, 03 medical and health sciences, 0302 clinical medicine, model structure uncertainty, geographic atrophy, Statistics, Humans, Fluorescein Angiography, Uncertainty quantification, age-related macular degeneration, Mathematics, Statistical hypothesis testing, Uncertainty, Linear model, Regression analysis, linear model, Ophthalmology, 030104 developmental biology, Metric (mathematics), Disease Progression, 030221 ophthalmology & optometry

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b4400553cf78d399da0342cb9ff7e2f
https://doi.org/10.1167/tvst.10.6.2