Works matching DE "AGGREGATION (Statistics)"
Results: 704
Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation.
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- Social Indicators Research, 2016, v. 128, n. 2, p. 835, doi. 10.1007/s11205-015-1059-6
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On a Generalized Non-compensatory Composite Index for Measuring Socio-economic Phenomena.
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- Social Indicators Research, 2016, v. 127, n. 3, p. 983, doi. 10.1007/s11205-015-0998-2
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Level Dependence of the Adjustment for Unbalance and Inequality for the Human Development Index.
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- Social Indicators Research, 2016, v. 126, n. 2, p. 527, doi. 10.1007/s11205-015-0918-5
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Assessment of Composite Indicators Using the ANOVA Model Combined with Multivariate Methods.
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- Social Indicators Research, 2014, v. 119, n. 2, p. 627, doi. 10.1007/s11205-013-0532-3
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A Comparison of the Well-Being of Agricultural and Non Agricultural Households Using a Multicriterial Approach.
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- Social Indicators Research, 2014, v. 119, n. 1, p. 183, doi. 10.1007/s11205-013-0488-3
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A Regional Development Index for Portugal.
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- Social Indicators Research, 2014, v. 118, n. 3, p. 1055, doi. 10.1007/s11205-013-0455-z
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Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index.
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- Social Indicators Research, 2014, v. 118, n. 3, p. 987, doi. 10.1007/s11205-013-0457-x
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Composite Indicator of Social Inclusion for European Countries.
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- Social Indicators Research, 2014, v. 116, n. 1, p. 269, doi. 10.1007/s11205-013-0274-2
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Who Makes the Most? Measuring the 'Urban Environmental Virtuosity'.
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- Social Indicators Research, 2013, v. 112, n. 3, p. 709, doi. 10.1007/s11205-012-0078-9
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An Unbalance Adjustment Method for Development Indicators.
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- Social Indicators Research, 2013, v. 112, n. 1, p. 19, doi. 10.1007/s11205-012-0070-4
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An Assessment of EU 2020 Strategy: Too Far to Reach?
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- Social Indicators Research, 2013, v. 110, n. 2, p. 659, doi. 10.1007/s11205-011-9950-2
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Aggregating Political Dimensions: Of the Feasibility of Political Indicators.
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- Social Indicators Research, 2013, v. 110, n. 1, p. 305, doi. 10.1007/s11205-011-9932-4
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Choosing Aggregation Rules for Composite Indicators.
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- Social Indicators Research, 2012, v. 109, n. 3, p. 337, doi. 10.1007/s11205-011-9911-9
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A Classification of Separation Methods.
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- Separation & Purification Reviews, 2016, v. 45, n. 1, p. 1, doi. 10.1080/15422119.2014.897235
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Aggregation Without Interpersonal Comparisons of Well‐Being.
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- Philosophy & Phenomenological Research, 2022, v. 105, n. 1, p. 18, doi. 10.1111/phpr.12783
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- Article
Designing and exploring risk matrices with MACBETH.
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- International Journal of Information Technology & Decision Making, 2018, v. 17, n. 1, p. 45, doi. 10.1142/S0219622015500170
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Continuous Ordered Weighted Distance Measure and Its Application to Multiple Attribute Group Decision Making.
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- Group Decision & Negotiation, 2013, v. 22, n. 4, p. 739, doi. 10.1007/s10726-012-9289-3
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A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting.
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- Group Decision & Negotiation, 2012, v. 21, n. 5, p. 727, doi. 10.1007/s10726-011-9246-6
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A Distance-Based Collective Preorder Integrating the Relative Importance of the Group's Members.
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- Group Decision & Negotiation, 2004, v. 13, n. 4, p. 327, doi. 10.1023/B:GRUP.0000042894.00775.75
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A fully coupled two‐level Schwarz preconditioner based on smoothed aggregation for the transient multigroup neutron diffusion equations.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 3, p. 1, doi. 10.1002/nla.2162
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A two-grid SA-AMG convergence bound that improves when increasing the polynomial degree.
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- Numerical Linear Algebra with Applications, 2016, v. 23, n. 4, p. 746, doi. 10.1002/nla.2053
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A note on the upper bound in SA AMG convergence analysis.
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- Numerical Linear Algebra with Applications, 2014, v. 21, n. 3, p. 399, doi. 10.1002/nla.1879
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Smoothed aggregation algebraic multigrid for stochastic PDE problems with layered materials.
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- Numerical Linear Algebra with Applications, 2014, v. 21, n. 2, p. 239, doi. 10.1002/nla.1924
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An improved convergence analysis of smoothed aggregation algebraic multigrid.
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- Numerical Linear Algebra with Applications, 2012, v. 19, n. 3, p. 441, doi. 10.1002/nla.775
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Topology optimization with finite-life fatigue constraints.
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- Structural & Multidisciplinary Optimization, 2017, v. 56, n. 5, p. 1045, doi. 10.1007/s00158-017-1701-9
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An evaluation of constraint aggregation strategies for wing box mass minimization.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 1, p. 257, doi. 10.1007/s00158-016-1495-1
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Privacy-Preserving and Energy-Efficient Continuous Data Aggregation Algorithm in Wireless Sensor Networks.
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- Wireless Personal Communications, 2018, v. 98, n. 1, p. 665, doi. 10.1007/s11277-017-4889-5
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Hybrid Tree Construction for Sustainable Delay Aware Data Aggregation in Wireless Sensor Networks.
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- Wireless Personal Communications, 2016, v. 90, n. 2, p. 923, doi. 10.1007/s11277-016-3287-8
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An Effective Clustering Approach with Data Aggregation Using Multiple Mobile Sinks for Heterogeneous WSN.
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- Wireless Personal Communications, 2016, v. 90, n. 2, p. 423, doi. 10.1007/s11277-015-2998-6
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Data Aggregation Using Dynamic Selection of Aggregation Points Based on RSSI for Wireless Sensor Networks.
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- Wireless Personal Communications, 2015, v. 80, n. 2, p. 611, doi. 10.1007/s11277-014-2031-5
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Deterministic Pivoting Algorithms for Constrained Ranking and Clustering Problems.
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- Mathematics of Operations Research, 2009, v. 34, n. 3, p. 594, doi. 10.1287/moor.1090.0385
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Scaling up: how do exogenous fluctuations in individual-based resource competition models re-emerge in aggregated stochastic population models?
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- Population Ecology, 2013, v. 55, n. 1, p. 173, doi. 10.1007/s10144-012-0345-2
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Species delimitation in Lippia section Goniostachyum ( Verbenaceae) using the phylogenetic species concept.
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- Botanical Journal of the Linnean Society, 2012, v. 170, n. 2, p. 197, doi. 10.1111/j.1095-8339.2012.01291.x
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A density-dependent model describing age-structured population dynamics using hawk–dove tactics.
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- Journal of Difference Equations & Applications, 2013, v. 19, n. 6, p. 1022, doi. 10.1080/10236198.2012.707195
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Sampling via the aggregation value for data-driven manufacturing.
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- National Science Review, 2022, v. 9, n. 11, p. 1, doi. 10.1093/nsr/nwac201
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A Genetic-Firefly Hybrid Algorithm to Find the Best Data Location in a Data Cube.
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- Engineering, Technology & Applied Science Research, 2016, v. 6, n. 5, p. 1187, doi. 10.48084/etasr.702
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Software quality metrics aggregation in industry.
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- Journal of Software: Evolution & Process, 2013, v. 25, n. 10, p. 1117, doi. 10.1002/smr.1558
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Information Aggregation with Costly Reporting.
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- Economic Journal, 2020, v. 130, n. 625, p. 208, doi. 10.1093/ej/uez047
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An Informational Theory of Privacy.
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- Economic Journal, 2020, v. 130, n. 625, p. 93, doi. 10.1093/ej/uez045
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Experiments on Percolation of Information in Dark Markets.
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- Economic Journal, 2017, v. 127, n. 605, p. F518, doi. 10.1111/ecoj.12464
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Rationalising Choice with Multi-self Models.
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- Economic Journal, 2015, v. 125, n. 585, p. 1136, doi. 10.1111/ecoj.12103
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ONE-DIMENSIONAL AGGREGATION EQUATION AFTER BLOW UP: EXISTENCE, UNIQUENESS AND NUMERICAL SIMULATION.
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- Networks & Heterogeneous Media, 2016, v. 11, n. 1, p. 163, doi. 10.3934/nhm.2016.11.163
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Dynamics of self-organized aggregation of resonant nanoparticles in a laser field.
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- Applied Physics B: Lasers & Optics, 2014, v. 117, n. 1, p. 271, doi. 10.1007/s00340-014-5831-0
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Various Approaches to the Aggregation of Economic Productivity Indices.
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- Pacific Economic Review, 2016, v. 21, n. 4, p. 445, doi. 10.1111/1468-0106.12192
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LOCAL VARIANCE IN THE CRIME DROP: A LONGITUDINAL STUDY OF NEIGHBOURHOODS IN GREATER GLASGOW, SCOTLAND.
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- British Journal of Criminology, 2018, v. 58, n. 1, p. 177, doi. 10.1093/bjc/azx022
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Recursive rules with aggregation: a simple unified semantics.
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- Journal of Logic & Computation, 2022, v. 32, n. 8, p. 1659, doi. 10.1093/logcom/exac072
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Efficient minimal preference change.
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- Journal of Logic & Computation, 2018, v. 28, n. 8, p. 1715, doi. 10.1093/logcom/exv027
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A plea for the majority method in aggregating judgements.
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- Journal of Logic & Computation, 2012, v. 22, n. 6, p. 1279, doi. 10.1093/logcom/exr008
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Temporal Disaggregation: Methods, Information Loss, and Diagnostics.
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- Journal of Business & Economic Statistics, 2016, v. 34, n. 1, p. 53, doi. 10.1080/07350015.2014.995797
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Flexible Modeling of Dependence in Volatility Processes.
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- Journal of Business & Economic Statistics, 2015, v. 33, n. 1, p. 102, doi. 10.1080/07350015.2014.925457
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