Models and methods for pairing data

Piet De Jong*, Malcolm Greig

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper deals with models and methods for count data derived from observations on pairing phenomena. Pairs formed from “similar” members are excluded. Various models are considered and analyzed. Particular emphasis is on developing methods for testing whether particular pairs are prone to occur more or less often than expected by chance.

Original languageEnglish
Pages (from-to)233-241
Number of pages9
JournalCanadian Journal of Statistics
Volume13
Issue number3
DOIs
Publication statusPublished - 1985
Externally publishedYes

Keywords

  • 62P10
  • contact sampling
  • likelihood‐ratio testing
  • Pairing data

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