Sentence examples for a model was identified from inspiring English sources

The phrase "a model was identified" is correct and usable in written English.
It can be used in contexts such as research, analysis, or discussions where a specific model has been recognized or established.
Example: "In the study, a model was identified that accurately predicts consumer behavior based on various factors."
Alternatives: "a model was recognized" or "a model was established."

Exact(3)

In this study, a model was identified to study the effects of the difference between design load and actual load on an optimal operation strategy.

Although a model was identified, additional associations and possible pathways may exist, and further, prospective studies will be necessary to delineate a precise causal relationship.

After iterative refinement of the relationships, a model was identified that consisted of the critical dimensions of the CEOs involvement within the SPI programme, based on the CEOs' reports.

Similar(57)

The phase margin is evaluated and a model is identified using constraints.

A model is identified that provides a good overall prediction of the frequency spectra for all cases evaluated.

Such a strategy limits an early venture's funding in order to force the business to develop a profitable business model and then invests heavily in growth once such a model is identified — Christensen terms such investments "good money" for incubating growth businesses and extols the strategy for three reasons.

In such situations, a two-step procedure is typically adopted: a model is identified from the set of measured data, and the filter is designed on the basis of the identified model.

Detection difficulty refers to ease with which the predictive loci of a model are identified by a given algorithm.

A model is identified if it is possible to derive a unique estimate for every model parameter.

It is essential for bifurcation analysis that any mass conservations in a model are identified and used to write the model in a form with a minimum number of independent variables.

An important prerequisite for dynamic causal modelling is that each region of a model is identified in each individual subject, which can be problematic for areas that show weak activation levels or inter-individual variability in spatial location.

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