Works matching DE "EXTREME value theory"
Results: 3637
Two years pitting corrosion of AA5005-H34 aluminium alloy immersed in natural seawater: data interpretation.
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- Corrosion Engineering, Science & Technology, 2021, v. 56, n. 2, p. 129, doi. 10.1080/1478422X.2020.1820157
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Pitting corrosion of older underground cast iron pipes.
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- Corrosion Engineering, Science & Technology, 2017, v. 52, n. 6, p. 459, doi. 10.1080/1478422X.2017.1330025
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A new statistical approach to customer classification and load profiling.
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- Ingeniería y Desarrollo, 2020, v. 38, n. 1, p. 32
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Assessing the welfare change from a pension reform.
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- International Tax & Public Finance, 2011, v. 18, n. 6, p. 634, doi. 10.1007/s10797-011-9178-8
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Estimation of marginal excess moments for Weibull-type distributions.
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- Extremes, 2024, v. 27, n. 4, p. 571, doi. 10.1007/s10687-024-00494-0
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On Gaussian triangular arrays in the case of strong dependence.
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- Extremes, 2024, v. 27, n. 4, p. 557, doi. 10.1007/s10687-024-00491-3
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Generalized pareto regression trees for extreme event analysis.
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- Extremes, 2024, v. 27, n. 3, p. 437, doi. 10.1007/s10687-024-00485-1
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On approximating dependence function and its derivatives.
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- Extremes, 2024, v. 27, n. 3, p. 479, doi. 10.1007/s10687-024-00484-2
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Extremes for stationary regularly varying random fields over arbitrary index sets.
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- Extremes, 2024, v. 27, n. 2, p. 247, doi. 10.1007/s10687-023-00481-x
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A modeler's guide to extreme value software.
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- Extremes, 2023, v. 26, n. 4, p. 595, doi. 10.1007/s10687-023-00475-9
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Causality in extremes of time series.
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- Extremes, 2024, v. 27, n. 1, p. 67, doi. 10.1007/s10687-023-00479-5
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Weighted weak convergence of the sequential tail empirical process for heteroscedastic time series with an application to extreme value index estimation.
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- Extremes, 2024, v. 27, n. 1, p. 163, doi. 10.1007/s10687-023-00476-8
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Gradient boosting for extreme quantile regression.
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- Extremes, 2023, v. 26, n. 4, p. 639, doi. 10.1007/s10687-023-00473-x
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Tail processes and tail measures: An approach via Palm calculus.
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- Extremes, 2023, v. 26, n. 4, p. 715, doi. 10.1007/s10687-023-00472-y
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Tail-dependence, exceedance sets, and metric embeddings.
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- Extremes, 2023, v. 26, n. 4, p. 747, doi. 10.1007/s10687-023-00471-z
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A weighted composite log-likelihood approach to parametric estimation of the extreme quantiles of a distribution.
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- Extremes, 2023, v. 26, n. 3, p. 469, doi. 10.1007/s10687-023-00466-w
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Remembering Ross Leadbetter: some personal recollections.
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- Extremes, 2023, v. 26, n. 3, p. 399, doi. 10.1007/s10687-023-00464-y
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Multi-normex distributions for the sum of random vectors. Rates of convergence.
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- Extremes, 2023, v. 26, n. 3, p. 509, doi. 10.1007/s10687-022-00461-7
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Causal modelling of heavy-tailed variables and confounders with application to river flow.
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- Extremes, 2023, v. 26, n. 3, p. 573, doi. 10.1007/s10687-022-00456-4
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Slash distributions, generalized convolutions, and extremes.
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- Annals of the Institute of Statistical Mathematics, 2023, v. 75, n. 4, p. 593, doi. 10.1007/s10463-022-00858-y
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Beneficial Fitness Effects Are Not Exponential for Two Viruses.
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- Journal of Molecular Evolution, 2008, v. 67, n. 4, p. 368, doi. 10.1007/s00239-008-9153-x
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Aggregation and regularization schemes: a probabilistic point of view.
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- Structural & Multidisciplinary Optimization, 2022, v. 65, n. 3, p. 1, doi. 10.1007/s00158-022-03179-z
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An efficient semi-analytical extreme value method for time-variant reliability analysis.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 3, p. 1469, doi. 10.1007/s00158-021-02934-y
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Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 6, p. 2853, doi. 10.1007/s00158-021-02847-w
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Efficient limitation of resonant peaks by topology optimization including modal truncation augmentation.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 6, p. 2557, doi. 10.1007/s00158-019-02471-9
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Temporal and spatial multi-parameter dynamic reliability and global reliability sensitivity analysis based on the extreme value moments.
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- Structural & Multidisciplinary Optimization, 2017, v. 56, n. 1, p. 117, doi. 10.1007/s00158-017-1651-2
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Influence of a multifocal intraocular lens centration and eye angles on light distortion and ocular scatter index.
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- Graefe's Archive of Clinical & Experimental Ophthalmology, 2023, v. 261, n. 8, p. 2291, doi. 10.1007/s00417-023-06028-x
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Measurement of macular thickness with optical coherence tomography: impact of using a paediatric reference database and analysis of interocular symmetry.
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- Graefe's Archive of Clinical & Experimental Ophthalmology, 2021, v. 259, n. 2, p. 533, doi. 10.1007/s00417-020-04903-5
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Revisiting the RIP of Real and Complex Gaussian Sensing Matrices Through RIV Framework.
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- Wireless Personal Communications, 2016, v. 87, n. 2, p. 513, doi. 10.1007/s11277-015-3083-x
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Statistical Modeling of Aggregated Inter-contact Time in Different Opportunistic Networks and Its Applications.
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- Wireless Personal Communications, 2015, v. 83, n. 1, p. 721, doi. 10.1007/s11277-015-2419-x
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Recent changing characteristics of dry and wet spells in Canada.
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- Climatic Change, 2021, v. 165, n. 3/4, p. 1, doi. 10.1007/s10584-021-03046-8
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Efficient statistical approach to develop intensity-duration-frequency curves for precipitation and runoff under future climate.
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- Climatic Change, 2021, v. 164, n. 1/2, p. 1, doi. 10.1007/s10584-021-02963-y
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Assessment of uncertainties in projecting future changes to extreme storm surge height depending on future SST and greenhouse gas concentration scenarios.
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- Climatic Change, 2020, v. 162, n. 2, p. 425, doi. 10.1007/s10584-020-02782-7
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Greater probability of extreme precipitation under 1.5 °C and 2 °C warming limits over East-Central Asia.
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- Climatic Change, 2020, v. 162, n. 2, p. 603, doi. 10.1007/s10584-020-02725-2
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Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5.
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- Climatic Change, 2020, v. 158, n. 3/4, p. 611, doi. 10.1007/s10584-019-02591-7
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Probabilistic assessment and projections of US weather and climate risks and economic damages.
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- Climatic Change, 2020, v. 158, n. 3/4, p. 503, doi. 10.1007/s10584-019-02558-8
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Assessment of the Laurentian Great Lakes' hydrological conditions in a changing climate.
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- Climatic Change, 2019, v. 157, n. 2, p. 243, doi. 10.1007/s10584-019-02530-6
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Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5.
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- Climatic Change, 2018, v. 146, n. 3/4, p. 349, doi. 10.1007/s10584-016-1605-5
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Climate change: a new metric to measure changes in the frequency of extreme temperatures using record data.
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- Climatic Change, 2012, v. 113, n. 3/4, p. 1001, doi. 10.1007/s10584-011-0370-8
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Extreme value analysis and the study of climate change.
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- Climatic Change, 2009, v. 97, n. 1/2, p. 77, doi. 10.1007/s10584-009-9627-x
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Trends and climate evolution: Statistical approach for very high temperatures in France.
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- Climatic Change, 2007, v. 81, n. 3/4, p. 331, doi. 10.1007/s10584-006-9116-4
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Extreme Values of Automorphic L-Functions.
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- Journal of Mathematical Sciences, 2013, v. 193, n. 1, p. 136, doi. 10.1007/s10958-013-1442-2
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Goodness-of-fit tests via characterizations. Special cases.
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- Journal of Mathematical Sciences, 2013, v. 191, n. 4, p. 550, doi. 10.1007/s10958-013-1340-7
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Is visitors' expenditure at destination influenced by weather conditions?
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- Current Issues in Tourism, 2023, v. 26, n. 10, p. 1554, doi. 10.1080/13683500.2022.2058468
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MODELLING STOCK PRICES OF A BANK WITH EXTREME VALUE DISTRIBUTIONS.
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- Eskişehir Technical University Journal of Science & Technology A - Applied Sciences & Engineering, 2024, v. 25, n. 2, p. 180, doi. 10.18038/estubtda.1317322
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Large deformation problem of hyperbolic shallow shells with bimodular effect: A perturbation‐variation method.
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- ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2024, v. 104, n. 11, p. 1, doi. 10.1002/zamm.202300864
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Aerospace electronics reliability prediction: application of two advanced probabilistic techniques.
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- ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2018, v. 98, n. 5, p. 824, doi. 10.1002/zamm.201700271
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基于 FEM 的超高压液压顶升装置力学特性分析.
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- Machine Tool & Hydraulics, 2023, v. 51, n. 18, p. 52, doi. 10.3969/j.issn.1001-3881.2023.18.008
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Regional Rainfall Frequency Analysis in the Lower Brahmaputra Basin.
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- Water Resources, 2023, v. 50, n. 4, p. 600, doi. 10.1134/S009780782304005X
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Effect of Weather-Related Episodic Events over Chlorophyll-a In a Shallow Lake: an Analysis Based on High-Frequency Data.
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- Water Resources, 2021, v. 48, n. 4, p. 614, doi. 10.1134/S0097807821040060
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