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Empirical distributions and processes : selected papers from a meeting at Oberwolfach, March 28-April 3, 1976 / edited by P. Gaenssler and P. Révész.

Contributor(s): Gänssler, Peter | Révész, PálMaterial type: TextTextSeries: Lecture notes in mathematics (Springer-Verlag) ; 566.Publication details: Berlin ; New York : Springer-Verlag, 1976. Description: 1 online resource (146 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783540375159; 3540375155Subject(s): Distribution (Probability theory) -- Congresses | Random variables -- Congresses | Convergence -- Congresses | Limit theorems (Probability theory) -- Congresses | Distribution (Théorie des probabilités) -- Congrès | Variables aléatoires -- Congrès | Convergence (Mathématiques) -- Congrès | Théorèmes limites (Théorie des probabilités) -- Congrès | Convergence | Distribution (Probability theory) | Limit theorems (Probability theory) | Random variables | Stochastik | Wahrscheinlichkeitsverteilung | Zufallsvariable | Stochastische processen | Stochastic processes -- Congresses | Distribution (Probability theory) -- Congresses | Random variables -- Congresses | Limit theorems (Probability theory) -- Congresses | Oberwolfach <1976>Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Empirical distributions and processes.DDC classification: 510/.8 s | 519.2/4 LOC classification: QA3 | .L28 no. 566 | QA273.6Other classification: 31.70 | 00.04:60.40 | 00A10:60 | 60 | 60-06 | 62E | 62F | SI 850 | 19a Online resources: Click here to access online
Contents:
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.
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Includes bibliographical references.

Print version record.

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.

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