Empirical distributions and processes : selected papers from a meeting at Oberwolfach, March 28-April 3, 1976

書誌事項

Empirical distributions and processes : selected papers from a meeting at Oberwolfach, March 28-April 3, 1976

edited by P. Gaenssler and P. Révész

(Lecture notes in mathematics, 566)

Springer-Verlag, 1976

  • : gw
  • : us

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注記

"Most of the papers in this volume were presented at the Oberwolfach-meeting on 'mathematical stochastics'"

Includes bibliographies

内容説明・目次

目次

Weak approximations of the empirical process when parameters are estimated.- On the Erdoes-Renyi increments and the P. Levy 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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