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Admissible Run-Contingency Type Tests for Independence and Markov Dependence.

Authors :
Denny, J. L.
Yakowitz, S. J.
Source :
Journal of the American Statistical Association. Mar1978, Vol. 73 Issue 361, p177. 5p.
Publication Year :
1978

Abstract

Admissible statistical tests of fixed level are derived for the hypotheses (a) of statistical independence and (b) of Markov dependence, against the alternative of a higher-order Markov dependence. The tests, which are related to the run test and to contingency tests, are conditional procedures given a complete sufficient statistic. Comparisons are made with chi-squared tests for independence using computer simulation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01621459
Volume :
73
Issue :
361
Database :
Academic Search Index
Journal :
Journal of the American Statistical Association
Publication Type :
Academic Journal
Accession number :
4609635
Full Text :
https://doi.org/10.1080/01621459.1978.10480023