Abstract
Sometimes the analyst may need to develop a computer simulation model that includes one or more variables where no empirical or sample data is available. This is where he/she seeks opinions from one or more experts who give some estimates on the characteristics of the variable. The chapter pertains to these situations and shows some of the common ways to select the probability distribution and estimate the associated parameters.
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Reference
Law, A.M.: Simulation Modeling and Analysis, 4th edn. McGraw Hill, Boston (2007)
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© 2013 Springer Science+Business Media New York
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Thomopoulos, N.T. (2013). Choosing the Probability Distribution When No Data. In: Essentials of Monte Carlo Simulation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6022-0_11
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DOI: https://doi.org/10.1007/978-1-4614-6022-0_11
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6021-3
Online ISBN: 978-1-4614-6022-0
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