Abstract
One of the central topics in our book can be characterized as follows: we discuss appropriate analogues of the Anderson inequality (see Section 2) and demonstrate applications of these analogues in probability theory, mathematical statistics and infinite-dimensional analysis. In other words, we wish to consider several problems and questions which are closely connected with the Anderson inequality and are of interest from the probabilistic viewpoint. This consideration essentially relies on the techniques from contemporary measure theory and probability theory. Therefore, it is reasonable to recall here some preliminary material concerning probability measures and random elements (for more detailed information, we refer the reader to [14], [31], [57], [71], [74], [80], [86], [155], [161], [171], [180], [197]).
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© 2000 Springer Science+Business Media Dordrecht
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Buldygin, V.V., Kharazishvili, A.B. (2000). Probability measures and random elements. In: Geometric Aspects of Probability Theory and Mathematical Statistics. Mathematics and Its Applications, vol 514. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1687-1_6
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DOI: https://doi.org/10.1007/978-94-017-1687-1_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5505-7
Online ISBN: 978-94-017-1687-1
eBook Packages: Springer Book Archive