Weakly and Strongly Random Errors

Nicolas Bouleau ()
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Nicolas Bouleau: École des Ponts ParisTech

Chapter Chapter 4 in The Mathematics of Errors, 2021, pp 41-45 from Springer

Abstract: Abstract We often think of errors in a deterministic way. For example, during an approximation procedure, or when making a sensitivity estimate, when we are in control of the perturbations that affect the data. In fact, if the errors are almost deterministic—in a sense that we will specify—everything happens as if they were deterministic and a first derivative calculation is sufficient. On the other hand, if the randomness is more important, new intrinsically probabilistic phenomena appear.

Date: 2021
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DOI: 10.1007/978-3-030-88575-5_4

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