Customized Input Distributions

Jeffrey M. Keisler
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Jeffrey M. Keisler: University of Massachusetts Boston

Chapter 6 in Prescriptive Analytics, 2024, pp 111-132 from Springer

Abstract: Abstract While the previous chapter showed a coarse technique for generating random numbers and focused on how to generate and analyze results, this chapter focuses on how to specify the distributions more carefully, which can be critical in evaluating risks and opportunities. The chapter works up to a point where readers can not only specify a wide range of distributions for each input variable, but also can specify the correlation between each pair of variables in order to get professional quality realism in the results. The spreadsheet technique to do this is new.

Date: 2024
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DOI: 10.1007/978-3-031-59353-6_6

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