Empirical Distributions and Processes
Selected Papers from a Meeting at Oberwolfach, March 28 - April 3, 1976
Herausgegeben: Gänssler, P.; Revesz, P.
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Weak approximations of the empirical process when parameters are estimated.- On the Erd¿s-R¿i increments and the P. L¿ 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 rand...
Weak approximations of the empirical process when parameters are estimated.- On the Erd¿s-R¿i increments and the P. L¿ 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.
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