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Models and methods for pairing data
Author(s) -
Jong Piet De,
Greig Malcolm
Publication year - 1985
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315153
Subject(s) - pairing , computer science , count data , statistical physics , mathematics , statistics , physics , superconductivity , quantum mechanics , poisson distribution
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.