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Problem Solving With Abstract Models Thesis

Pages:1 (323 words)

Sources:2

Document Type:Thesis

Document:#66021735


Calculating the cost of capital based on known rates is one example of a situation where a deterministic model could be utilized; the certainty of the figures involved lends the issue to a straightforward calculation. Probability models can project future events in degrees of uncertainty; forecasting future interest rates based on past changes and projected changes would be an effective use of a probability model as the output's certainty can be quantified despite coming from uncertain input. Simulation models are better suited to situations where information is not so easily quantified. Human behavior, for instance, is much better modeled by simulations; enactments of hypothetical workplace situations can effectively educate and prepare individuals for eventualities. When highly specific individuals and situations are involved, discipline-specific models are best suited.

References

Business Dictionary. (2009). Accessed 30 July 2009. http://www.businessdictionary.com/

Frontline Systems. (2009). "Simulation models." Accessed 30 July 2009. http://www.solver.com/simulation/simulation-model.htm

Yale. (1998). "Statistical modeling." Accessed 30 July 2009. http://www.stat.yale.edu/Courses/1997-98/101/probint.htm


Sample Source(s) Used

References

Business Dictionary. (2009). Accessed 30 July 2009. http://www.businessdictionary.com/

Frontline Systems. (2009). "Simulation models." Accessed 30 July 2009. http://www.solver.com/simulation/simulation-model.htm

Yale. (1998). "Statistical modeling." Accessed 30 July 2009. http://www.stat.yale.edu/Courses/1997-98/101/probint.htm

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