Abstract
For quantifying physical parameters such as geometry, material, or loading parameters, real numbers or integers are mainly applied, i.e., a deterministic data model is applied. In order to describe randomness resulting from imprecise readings or fluctuating ambient conditions, measurements are repeated and lumped together in a concrete data sample. Mathematical statistics offers methods for describing data samples with the aid of random variables. A common approach for this purpose is to specify a probability distribution function in order to obtain a stochastic data model.
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© 2004 Springer-Verlag Berlin Heidelberg
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Möller, B., Beer, M. (2004). Introduction. In: Fuzzy Randomness. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07358-2_1
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DOI: https://doi.org/10.1007/978-3-662-07358-2_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07312-0
Online ISBN: 978-3-662-07358-2
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