Empirical Distributions and Processes : Selected Papers from a Meeting at Oberwolfach March 28 – April 3 1976 Weak approximations of the empirical process when parameters are estimated On the Erdös Rényi increments and the P. Lévy 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.