Sentences with phrase «model validation»

Model validation refers to the process of evaluating and verifying the accuracy and reliability of a model or a system. It involves checking if the model successfully represents reality, performs as expected, and produces reliable results. This helps ensure that the model can be trusted and used confidently for various purposes such as predictions, simulations, or decision-making. Full definition
The analysis provides an estimate for the feedback terms that could be used for model validation studies.
The ice core data are used in model validation.
I do numerical modelling of physical phenomena for a living, so I know something about model validation procedures.
Prepared standardized risk model validation reports and conducted risk index score monthly audit.
The ice core data are used in model validation.
GMST could rise with that same small upward trend of +0.03 C per decade for another 28 years beyond 2007 and still remain inside the AR5 model validation envelope.
When I'm evaluating new businesses and new business models (see my article, The Two Principles of Startup Success), I always look for business model validation (does this work in one market?)
The Genetic Engineering and Model Validation department is in charge of the generation of customized and ready - to - use genetically modified mouse.
To TangoMan who wants to see model validation.
The specific goal of releasing space - weather data from national - security assets such as GPS satellites is to enable broad scientific community engagement in enhancing space - weather model validation and improvements in space - weather forecasting and situational awareness.
During the first phase model validation will be based on transient 1980 to 1999 model simulations already existing before SCOUT - O3 started.
Experts in model validation say that the climate models frequently cited in the IPCC report are little if any validated.
For more on these validity tests see IPCC model validation.
EPA relied upon Climate Models, all predicated on this Fingerprint Theory, that all fail standard model validation and forecast reliability tests.
Implemented model validation and developed diagnostic tables and graphs that demonstrated how model can be used to improve the efficiency of the selection process for a life insurance acquisition campaign.
Reactor enables evaluation of reactive materials for solar ‑ thermochemical hydrogen production under real ‑ world conditions, and provides a learning platform for up - scaling technology as well as model validation.
A range of factors have driven this shift, including a sharp reduction in the cost to advance technology companies to proof of concept and business model validation — aided by declining infrastructure expenses, the rise of cloud - based software and service providers, and «pay as you grow» cost structures.
Try reading the chapter on model validation in AR5 — you'll never see a more comprehensive critique (if by «comprehensive» one means «specific, serious and constructive»).
One of the central tests in model validation is that the climatology produced by the models does match observations — for example, in the linked information, they talked about realistic El Nino cycles, monsoons and so forth.
Additional known locales where this species has been collected in New York City and its northern and eastern suburbs, southern Connecticut, and isolated southern New England areas were not included in model development, but were useful for model validation.
The three highly interactive departments Genetic Engineering and Model Validation, Phenotyping and Mouse Supporting Services generate approximately 200 genetically modified mice per year.
Genetic Engineering and Model Validation: engineering and generation of customised genetically modified mouse models, generation of genetically modified ES cells, genotyping, analysis of gene expression, model validation by molecular analysis, CRISPR / Cas9 nucleases technology
logical fallacy, circular reasoning, model validation, data analysis, mathematical models, learning set, test set, climate change, global warming, field data, statistics, scientific method
More accurate and reliable precipitation data would be invaluable, not only for the study of climate trends and variability, but also as inputs to hydrological and ecological models and for model validation, characterization of extreme events, and flood and drought forecasting.
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