model output statistics technique
técnica MOS · técnica estadística para las salidas de modelos
model output statistics oor Spaans
model output statistics
Vertalings in die woordeboek Engels - Spaans
MOS
estadísticas de los resultados del modelo
valores estadísticos elaborados con modelos
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
Soortgelyke frases
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
It was important that countries be made aware of the difference between a zero input and the non-input of any data, in particular, that a zero input had a value in a statistical model (and thus affected the statistical output), whereas no input would have no effect on the model and thus would have no statistical output in the model
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Furthermore, the new EFI integrates output from statistical models that simulate the negative impact of human pressure on these highly sensitive ecosystems.
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The hydrologists at NVE subsequently carried out a statistical analysis of the model output.
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They use statistical tests to compare climate model output with real-life data.
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Cite at least three advantages and three limitations of Model Output Statistics.
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Model output statistics[edit] Main article: Model output statistics
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[edit] Model output statistics Main article: Model output statistics
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Development, availability and use of climate models, and development of, access to, and use of climate change scenarios, especially those that provide subregional and regional specificity, including data downscaled from general circulation models; Enhanced capacity and experience with the use of these different models, statistical approaches and outputs, and any available training opportunities; Identification and reduction of uncertainties
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For this MeteoGroup applies a type of model output statistics (MOS), a similar method to that which we use for our forecasts.
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Next, we present information on statistical guidance methods and techniques, including perfect-prog and Model Output Statistics (MOS). Strengths and limitations of each technique are described.
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MOS MOS (Model output statistics) is the technique of post-processing the output from numerical weather forecast models using statistics of local historical or actual weather measurements.
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MOS MOS (Model output statistics) is the technique of post-processing the output from numerical weather forecast models using statistics of local historical or actual weather measurements.
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A strategy to deal with uncertainty in numeric prediction models is to apply an Model Output Statistical (MOS), powered by the data produced by the numerical models.
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More specifically, work on the indicators involved combining national economic accounts and trade statistics using an environmentally extended multi-regional input–output (MRIO) model.
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impacts of future climate change on meteorological drought events in Turkey by using a new statistical downscaling technique based on polytomous logistic regression, denoted as the model output statistics (MOS) technique.
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The frameworks used by Australia, Brazil, Canada and the Organization for Economic Cooperation and Development (OECD) reflect an underlying conceptual model for organizing statistics (e.g., inputs, processes, outputs and outcomes), yet decisions about what data to collect in any given data collection can be influenced by the data needs of policymakers.
Sí, ¿ pero es pertinente?UN-2 UN-2
The frameworks used by Australia, Brazil, Canada and the Organization for Economic Cooperation and Development (OECD) reflect an underlying conceptual model for organizing statistics (e.g., inputs, processes, outputs and outcomes), yet decisions about what data to collect in any given data collection can be influenced by the data needs of policymakers
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Three different statistical approaches were also developed in order to allow efficient downscaling of global model output to more suitable scales for the specific regions.
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This study investigates the possible impacts of future climate change on meteorological drought events in Turkey by using a new statistical downscaling technique based on polytomous logistic regression, denoted as the model output statistics (MOS) technique.
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Some features of this site may description.abstract The statistical post-processing technique MOS (Model Output Statistic), which is used to develop statistical models that express the relationship between the outputs of numerical models (predictor) and predicting variable, was applied in the present study.
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The forecasts for 8112 sites in Spain should be interpreted as the most likely tendency for weather evolution during the next 7 days.They are generated automatically by means of statistical processing of the output from numerical weather forecasting models.
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The model shall not have material biases; (b) the institution shall have in place a process for vetting data inputs into the model, which includes an assessment of the accuracy, completeness and appropriateness of the data; (c) the data used to build the model shall be representative of the population of the institution's actual obligors or exposures; (d) the institution shall have a regular cycle of model validation that includes monitoring of model performance and stability; review of model specification; and testing of model outputs against outcomes; (e) the institution shall complement the statistical model by human judgement and human oversight to review model-based assignments and to ensure that the models are used appropriately.
Vistos el apartado # del artículo #, el apartado # del artículo # y los artículos # y # del Tratado CE, conforme a los cuales la Comisión le ha presentado su propuesta (Cnot-set not-set
If statistical assumptions cannot be satisfied or there is insufficient data for the system a graphical comparisons of model outputs to system outputs can be used to make a subjective decisions, however other objective tests are preferable.
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Those basic and macroeconomic statistics are complemented by relevant analytical tools and related indicators, such as the intercountry input-output models from which trade in value added estimates are derived or the industry-specific indicators derived from global value chains mapping.
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A method, technique, system or algorithm for transforming model inputs into model outputs; it may be statistical, mathematical or judgmental.
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