# model

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## Model

Any mathematical formula or other structure that economists use to explain or predict occurrences. Economists test their models with real world facts before they gain wide acceptance, but, even then, there is no guarantee that a model will always be a correct predictor. See also: Model risk.

## model

An abstraction of reality, generally referring in investments to a mathematical formula designed to determine security values. Economists also use models to project trends in economic variables such as interest rates, economic activity, and inflation rates.

## model

see ECONOMIC MODEL.
References in periodicals archive ?
This exception applies also to multiline slots, where probability applications related to groups of paylines rely on a representation of the display as part of a discrete mathematical structure (Cartesian grid or graph) generating a metric space (and implicitly a topology), within which properties such as connection, neighboring, and independence are defined to serve the probabilistic models (Barboianu, 2013c).
The superiority of the probabilistic model over the traditional model becomes especially evident in projecting property cash flows.
In sum, the probabilistic model provides only an occasional guide
In our context, probabilistic model parameters can be approximated by a mixture of Gauss functions (or Gaussians).
This final probabilistic model will analyze the same real estate investment project, but will take into account the risk and uncertainties involved in estimating future cash flows and other input factors.
In general, the probabilistic model outperforms the fuzzy model.
Using a probabilistic model for the stocks, was analyzed two significant cases: first case is the stock model for a product with stochastic market demand, with neglected cost to depose the product, with supplementary cost when it is no stock available; the second case considers a product with stochastic market demand, with knew deposed cost and penalty cost when the product is not always available.
However, these methods can be applied effectively only when a "tenable" probabilistic model has been chosen for the accidental action in question.
Most insurers use some sort of probabilistic model as described above to develop a probability distribution curve for potential environmental liability costs similar to Figures 1 and 2.
Since we never know a prioriwhat particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication.
Whereas AIR offers what it calls a fully probabilistic model, RMS provides a conditionally probabilistic model.
Among the topics are corpora and critical discourse analysis, issues in the design and development of software tools for corpus studies, fixed collocational patterns in isolexical and isotextual versions of a corpus, integrating learner corpus analysis into a probabilistic model of second language acquisition, the impact of corpora on dictionaries, and corpus linguistics and the languages of South Asia.

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