Titlebook: Empirical Distributions and Processes; Selected Papers from Peter Gaenssler,Pál Révész Conference proceedings 1976 Springer-Verlag Berlin H

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0075-8434 Overview: 978-3-540-08061-9978-3-540-37515-9Series ISSN 0075-8434 Series E-ISSN 1617-9692

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故意

,Erfahrungsn?he und ?hnlichkeit, defined by ., where μ. denotes the empirical probability distribution and the supremum is taken over the class ?. of all convex measurable subsets of ?.. In the present paper it is proved that μ.(e(C))=0 for all C ε ?. whenever D.(ω)→0 a.s., and where e(C) denotes the set of all extreme points of C.

誓言

Juvenile

predict

,On the Erd?s-Rényi increments and the P. Lévy modulus of continuity of a kiefer process,

antecedence

Kolmogorov-smirnov tests when parameters are estimated,

Buttress

On uniform convergence of measures with applications to uniform convergence of empirical distributi

cardiovascular

An alternative approach to glivenko-cantelli theorems,

十字架

Weak convergence under contiguous alternatives of the empirical process when parameters are estimat