Stability Problems for Stochastic Models

Proceedings of the International Seminar, held in Suzdal, Russia, Jan. 27–Feb. 2, 1991

  • Editors
  • Vladimir V. Kalashnikov
  • Vladimir M. Zolatarev
Conference proceedings

Part of the Lecture Notes in Mathematics book series (LNM, volume 1546)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Caterina Dimaki, Evdokia Xekalaki
    Pages 1-16
  3. Mark Finkelstein, Howard G. Tucker
    Pages 26-32
  4. V. V. Kalashnikov
    Pages 76-88
  5. L. B. Klebanov, A.Yu. Yakovlev
    Pages 89-99
  6. V.Yu. Korolev, V. M. Kruglov
    Pages 100-120
  7. I. S. Molchanov
    Pages 121-129
  8. Josep M. Oller
    Pages 134-158
  9. M. Yu. Svertchkov
    Pages 167-169
  10. Hermann Thorisson
    Pages 174-179

About these proceedings

Introduction

The subject of this book is a new direction in the field of probability theory and mathematical statistics which can be called "stability theory": it deals with evaluating the effects of perturbing initial probabilistic models and embraces quite varied subtopics: limit theorems, queueing models, statistical inference, probability metrics, etc. The contributions are original research articles developing new ideas and methods of stability analysis.

Keywords

Limit Theorem Median Probability Probability theory Queueing Theory Random Walk Random variable Stability ergodicity mathematical statistics statistics

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0084476
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56744-8
  • Online ISBN 978-3-540-47645-0
  • Series Print ISSN 0075-8434
  • Series Online ISSN 1617-9692
  • About this book
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