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Selection: with tag median [7 articles] 


Seeking for the rational basis of the Median Model: the optimal combination of multi-model ensemble results

Atmospheric Chemistry and Physics, Vol. 7, No. 24. (11 December 2007), pp. 6085-6098,


In this paper we present an approach for the statistical analysis of multi-model ensemble results. The models considered here are operational long-range transport and dispersion models, also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides. [\n] We first introduce the theoretical basis (with its roots sinking into the Bayes theorem) and then apply this approach to the analysis of model results obtained during the ETEX-1 exercise. We recover some interesting results, supporting the heuristic approach ...


On the systematic reduction of data complexity in multimodel atmospheric dispersion ensemble modeling

Journal of Geophysical Research: Atmospheres, Vol. 117, No. D5. (16 March 2012), pp. n/a-n/a,


The aim of this work is to explore the effectiveness of theoretical information approaches for the reduction of data complexity in multimodel ensemble systems. We first exploit a weak form of independence, i.e. uncorrelation, as a mechanism for detecting linear relationships. Then, stronger and more general forms of independence measure, such as mutual information, are used to investigate dependence structures for model selection. A distance matrix, measuring the interdependence between data, is derived for the investigated measures, with the scope of ...


Weighted median filters: a tutorial

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing In Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, Vol. 43, No. 3. (March 1996), pp. 157-192,


Weighted Median (WM) filters have the robustness and edge preserving capability of the classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM filters belong to the broad class of nonlinear filters called stack filters. This enables the use of the tools developed for the latter class in characterizing and analyzing the behavior and properties of WM filters, e.g. noise attenuation capability. The fact that WM filters are threshold functions allows the use of neural network training methods ...


Multi-dimensional weighted median: the module "wmedian" of the Mastrave modelling library

In Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modelling (2012)


Weighted median (WM) filtering is a well known technique for dealing with noisy images and a variety of WM-based algorithms have been proposed as effective ways for reducing uncertainties or reconstructing degraded signals by means of available information with heterogeneous reliability. Here a generalized module for applying weighted median filtering to multi-dimensional arrays of information with associated multi-dimensional arrays of corresponding weights is presented. Weights may be associated to single elements or to groups of elements along given dimensions of the ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 21

(February 2014)
Keywords: inrmm-list-of-tags   mating-pattern   matlab   matsucoccus-feytaudi   mattesia-schwenkei   mature-forest   mauritia-flexuosa   maxent   mcpfe   meadow   meadows   mechanical-testing   mechanics   mechanistic-approach   medetera-signaticornis   median   mediawiki   medicago-arborea   medical-herb   medicinal-plants   mediterranean-pines   mediterranean-region   medium-resolution   megastigmus-brevicaudis   megastigmus-spp   megastigmus-wachtli   melaleuca-quinquenervia   melampsora   melampsora-larici-populina   melanophila-picta   melia-azedarach   melia-spp   melting-acceleration   memory   mercurialis-perennis   mercury   mersenne-twister   mesoamerica   mesophilous   mesophytic-species   mespilus-germanica   messerschmidia-argentea   meta-analysis   metadata   metadata-mining   metaknowledge   metaprogramming   metasequoia-glyptostroboides   meteorology   methane   methods   metopium-toxiferum   metrology   metrosideros-polymorpha   mexico   mic   micology   microalgae   microclimate   microsatellite   microsite   microsoft-academic-search   mid-holocene   middle-east   migration   migration-history   migration-rate   milicia-excelsa   millennium-ecosystem-assessment   milliferous-plant   min-max   mineralization   minimal-predicted-area   miocene   miridae   missing-full-author-list   mistletoe   mitigation   mitochondrial-dna   mixed-forest   mixed-models   mixed-species-stand   mobile-communication   mode   model   model-assessment   model-comparison   model-drift   modelling   modelling-uncertainty   modelling-vs-management   moderate-floods   modern-analogue   modis   modularization   moist-convection   molinia-caerulea   monetarisation   mongolia  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


Robust regression using repeated medians

Biometrika, Vol. 69, No. 1. (01 April 1982), pp. 242-244,


The repeated median algorithm is a robustified U-statistic in which nested medians replace the single mean. Unlike many generalizations of the univariate median, repeated median estimates maintain the high 50% breakdown value and can resist the effects of outliers even when they comprise nearly half of the data. For bivariate linear regression with symmetric errors, repeated median estimates are unbiased and Fisher consistent, and their efficiency under Gaussian sampling can be comparable to the efficiency of the univariate median. ...


  1. Andrews, D. F., 1974. A robust method for multiple linear regression. Technometrics 16, 523-31.
  2. Brown, G. W., Mood, A. M., 1951. On median tests for linear hypotheses. Proc. 2nd berkeley symp. 159- 66.
  3. Cox, D. R., Hinkley, D. V., 1974. Theoretical statistics. London: Chapman and Hall.
  4. Hoeffding, W., 1948. A class of statistics with asymptotically normal distribution. Ann. Math. Statist. 19, 293-325.

Consequences of climate change on the tree of life in Europe

Nature, Vol. 470, No. 7335. (24 February 2011), pp. 531-534,


Many species are projected to become vulnerable to twenty-first-century climate changes1, 2, with consequent effects on the tree of life. If losses were not randomly distributed across the tree of life, climate change could lead to a disproportionate loss of evolutionary history3, 4, 5. Here we estimate the consequences of climate change on the phylogenetic diversities of plant, bird and mammal assemblages across Europe. Using a consensus across ensembles of forecasts for 2020, 2050 and 2080 and high-resolution phylogenetic trees, we ...

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Integrated Natural Resources Modelling and Management - Meta-information Database.

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.