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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.
Farlex Financial Dictionary. © 2012 Farlex, Inc. All Rights Reserved

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.
Wall Street Words: An A to Z Guide to Investment Terms for Today's Investor by David L. Scott. Copyright © 2003 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved. All rights reserved.

model

see ECONOMIC MODEL.
Collins Dictionary of Economics, 4th ed. © C. Pass, B. Lowes, L. Davies 2005
References in periodicals archive ?
Actually, it is more than important to see the techniques for counterexample generation and counterexample analysis integrated in probabilistic model checkers to get their benefit.
The major disadvantages associated with probabilistic models are listed:
Therefore, a new type of probabilistic and nonprobabilistic HRA is proposed based on the traditional probabilistic model and nonprobabilistic model.
(2014) also developed probabilistic models to describe Pseudomonas growth responses in processed meat products formulated with NaN[O.sub.2] and NaCl, and found that the antimicrobial effect of NaN[O.sub.2] on Pseudomonas increased as NaCl concentration increased.
Savaria "Probabilistic model checking of single event transient propagation at RTL level" Proc.
probabilistic models, and (4) general complementarity of models.
Probabilistic model checking of the IEEE 802.11 wireless local area network protocol.
That is because, although the near-miss (and consequently the near-miss psychological effect) is a direct consequence of the parametric design of the game (yielding a relatively high probability of an outcome near a winning one and implicitly a high frequency of such event), the purposes of a probabilistic model are to provide quantifications under uncertainty of the winning outcomes and not particular losing ones.
For a KST assessment, a deterministic model on all problems q [member of] Q, called knowledge structure, is required, along with a probabilistic model, like for example, the BLIM.
In order to obtain the probabilistic model parameters of [p.sub.10], [p.sub.11], [p.sub.20], and [p.sub.21] in (3), the fuzzy C-means clustering [15] is applied to the regions of interest in the studied PET and CT images.
These methods are based on a probabilistic model of PPIs and make use of protein domain information.
Apart from PGM, BDEC is also known as a very powerful probabilistic model for circuit reliability evaluation.

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