Empirical Distributions and Processes: Selected Papers from a Meeting at Oberwolfach, March 28 - April 3, 1976 (Lecture Notes in Mathematics, 566)

Edited By Peter Gaenssler, Pál Révész. 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