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TitleEmpirical Distributions and Processes [electronic resource] : Selected Papers from a Meeting at Oberwolfach, March 28 - April 3, 1976 / edited by Peter Gaenssler, Pรกl Rรฉvรฉsz
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 1976
Connect tohttp://dx.doi.org/10.1007/BFb0096874
Descript VII, 150 p. online resource

CONTENT

Weak approximations of the empirical process when parameters are estimated -- On the Erdรถs-Rรฉnyi increments and the P. Lรฉvy modulus of continuity of a kiefer process -- Kolmogorov-smirnov tests when parameters are estimated -- On uniform convergence of measures with applications to uniform convergence of empirical distributions -- An alternative approach to glivenko-cantelli theorems -- Weak convergence under contiguous alternatives of the empirical process when parameters are estimated: The Dk approach -- Almost sure invariance principles for empirical distribution functions of weakly dependent random variables -- Three theorems of multivariate empirical process -- Weak convergence to stable laws by means of a weak invariance principle -- A necessary condition for the convergence of the isotrope discrepancy -- Two examples concerning uniform convergence of measures w.r.t. balls in Banach spaces


Mathematics Probabilities Mathematics Probability Theory and Stochastic Processes



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