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Exact Conditional Tests for Hierarchical Models in Multidimensional Contingency Tables
Author(s) -
Morgan W. Meade,
Blumenstein Brent A.
Publication year - 1991
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347523
Subject(s) - contingency table , econometrics , statistics , hierarchical database model , mathematics , computer science , data mining
SUMMARY Exact conditional inference is routinely used for contingency tables with restricted dimensions such as 2×2, I × J and 2×2 × K tables. This paper introduces an algorithm and computer subroutine for the exact conditional test of hierarchical models in multidimensional contingency tables. The algorithm depends on complete enumeration, and the feasibility of using this algorithm is illustrated. Exact conditional inference is useful for sparse multidimensional tables or multidimensional tables with small sample size.