Empirical Distributions and Processes: Selected Papers from a Meeting at Oberwolfach, March 28 – April 3, 1976

M. Csörgő, M. D. Burke (auth.), Peter Gaenssler, Pál Révész (eds.)9780387080611, 0-387-08061-9

Table of contents :
Weak approximations of the empirical process when parameters are estimated….Pages 1-16
On the Erdös-Rényi increments and the P. Lévy modulus of continuity of a kiefer process….Pages 17-32
Kolmogorov-smirnov tests when parameters are estimated….Pages 33-44
On uniform convergence of measures with applications to uniform convergence of empirical distributions….Pages 45-56
An alternative approach to glivenko-cantelli theorems….Pages 57-67
Weak convergence under contiguous alternatives of the empirical process when parameters are estimated: The D k approach….Pages 68-82
Almost sure invariance principles for empirical distribution functions of weakly dependent random variables….Pages 83-105
Three theorems of multivariate empirical process….Pages 106-126
Weak convergence to stable laws by means of a weak invariance principle….Pages 127-137
A necessary condition for the convergence of the isotrope discrepancy….Pages 138-140
Two examples concerning uniform convergence of measures w.r.t. balls in Banach spaces….Pages 141-146