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Frequently Met Probability Models and Distribution Functions

In: Managing SMEs in Times of Rapid Change, Uncertainty, and Disruption

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  • Herfried Kohl

Abstract

Key Topics in This Chapter: Mainly Quantitative In this chapter, we present some of the most important distribution functions applied in quantitative risk management. We also discuss various related concepts, including the following: Special functions needed when dealing with distribution functions. Discrete distribution functions. Continuous distribution functions. Distribution functions needed for statistical inference. Creation of distribution functions by mixing others. Creation of distribution functions by transforming variables (univariate and multivariate). Distribution of extreme values.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-71272-2_18
DOI: 10.1007/978-3-031-71272-2_18
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