Advertisement

Introduction

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

Abstract

In many fields, decision-makers give great weight to clusters of events. Public Health investigators look for common causal factors to explain clusters of cancer cases or birth defects. Molecular biologists look for palindrome clusters in DNA for clues to the origin of replication of viruses. Telecommunications engineers design capacity to accommodate clusters of calls being simultaneously dialed to a switchboard. Quality control experts investigate clusters of defectives. The probabilities of different types of clusters under various conditions are tools of the physical, natural, and social sciences.

Keywords

Sudden Infant Death Syndrome Generalize Likelihood Ratio Test Fixed Grid Large Match Common Causal Factor 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations