Titlebook: Asymptotic Methods in Probability and Statistics with Applications; N. Balakrishnan,I. A. Ibragimov,V. B. Nevzorov Book 2001 Springer Scie

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https://doi.org/10.1007/978-1-4612-0209-7Brownian bridge; Estimator; Gaussian distribution; Maxima; Normal distribution; Probability distribution;

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978-1-4612-6663-1Springer Science+Business Media New York 2001

BRINK

Positive Linnik and Discrete Linnik Distributionsd first terms of both the Edgeworth expansions and the expansions in the exponent of the distribution functions of certain sums of such random variables with nonnegative strictly stable as well as discrete stable limit laws are considered.

PANEL

On Finite-Dimensional Archimedean Copulas necessary and sufficient conditions for the generators of Archimedean copulas and give some properties of degenerate finite dimensional Archimedean copulas. Some examples of degenerate finite dimensional Archimedean copulas are also represented.

erythema

chance

Localization of Majorizing Measuresce. Basic tools are either majorizing measures or quantities defined by Partitions and weights. Our objective in this chapter is to investigate generalizations of those expressions. As a consequence, we get a deeper understanding of the structure of precompact metric spaces as well as of Gaussian pr

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Multidimensional Hungarian Construction for Vectors With Almost Gaussian Smooth Distributionsined in the Particular case when the summands have smooth distributions which are close to Gaussian ones. The bounds obtained reflect this closeness. Furthermore, the results provide sufficient conditions for the existence of i.i.d. vectors X., X.,… with given distributions and corresponding i.i.d.

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