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Approaches Used for Derivations and Approximations

  • Joseph Glaz
  • Joseph Naus
  • Sylvan Wallenstein
Part of the Springer Series in Statistics book series (SSS)

Abstract

This chapter provides background on different approaches, results, and techniques that are used in several of the chapters. Some of the topics: order statistics and direct integration; random walks and the reflection principle; ballot problems; the Karlin–McGregor theorem; Poisson and compound Poisson approximation; Bonferroni bounds; the Q2/ Q3 Markov-type approximation.

Keywords

Poisson Approximation Reflection Principle Compound Poisson Distribution Bonferroni Inequality Indicator Random Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Joseph Glaz
    • 1
  • Joseph Naus
    • 2
  • Sylvan Wallenstein
    • 3
  1. 1.Department of Statistics The College of Liberal Arts and SciencesUniversity of ConnecticutStorrsUSA
  2. 2.Department of Statistics RutgersThe State University of New JerseyPiscatawayUSA
  3. 3.Department of Biomathematical SciencesMount Sinai School of MedicineNew YorkUSA

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