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An Asymptotic Theory for Empirical Reliability and Concentration Processes

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  • © 1986

Overview

Part of the book series: Lecture Notes in Statistics (LNS, volume 33)

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Table of contents (18 chapters)

Keywords

About this book

Mik16s Cs6rgO and David M. Mason initiated their collaboration on the topics of this book while attending the CBMS-NSF Regional Confer­ ence at Texas A & M University in 1981. Independently of them, Sandor Cs6rgO and Lajos Horv~th have begun their work on this subject at Szeged University. The idea of writing a monograph together was born when the four of us met in the Conference on Limit Theorems in Probability and Statistics, Veszpr~m 1982. This collaboration resulted in No. 2 of Technical Report Series of the Laboratory for Research in Statistics and Probability of Carleton University and University of Ottawa, 1983. Afterwards David M. Mason has decided to withdraw from this project. The authors wish to thank him for his contributions. In particular, he has called our attention to the reverse martingale property of the empirical process together with the associated Birnbaum-Marshall inequality (cf.,the proofs of Lemmas 2.4 and 3.2) and to the Hardy inequality (cf. the proof of part (iv) of Theorem 4.1). These and several other related remarks helped us push down the 2 moment condition to EX < 00 in all our weak approximation theorems.

Authors and Affiliations

  • Department of Mathematics and Statistics, Carleton University, Ottawa, Canada

    Miklós Csörgő

  • Bolyai Institute, Szeged University, Szeged, Hungary

    Sándor Csörgő, Lajos Horváth

Bibliographic Information

  • Book Title: An Asymptotic Theory for Empirical Reliability and Concentration Processes

  • Authors: Miklós Csörgő, Sándor Csörgő, Lajos Horváth

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4615-6420-1

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1986

  • Softcover ISBN: 978-0-387-96359-4Published: 17 July 1998

  • eBook ISBN: 978-1-4615-6420-1Published: 14 March 2013

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: V, 173

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Applications of Mathematics

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