An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables

María Del Carmen Pardo

Kybernetika (1996)

  • Volume: 32, Issue: 2, page 175-183
  • ISSN: 0023-5954

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Pardo, María Del Carmen. "An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables." Kybernetika 32.2 (1996): 175-183. <http://eudml.org/doc/27335>.

@article{Pardo1996,
author = {Pardo, María Del Carmen},
journal = {Kybernetika},
keywords = {comparison of Cressie and Read tests; hypothesis of independence; three-way contingency tables; Monte Carlo study; power; spike alternatives},
language = {eng},
number = {2},
pages = {175-183},
publisher = {Institute of Information Theory and Automation AS CR},
title = {An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables},
url = {http://eudml.org/doc/27335},
volume = {32},
year = {1996},
}

TY - JOUR
AU - Pardo, María Del Carmen
TI - An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables
JO - Kybernetika
PY - 1996
PB - Institute of Information Theory and Automation AS CR
VL - 32
IS - 2
SP - 175
EP - 183
LA - eng
KW - comparison of Cressie and Read tests; hypothesis of independence; three-way contingency tables; Monte Carlo study; power; spike alternatives
UR - http://eudml.org/doc/27335
ER -

References

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  1. N. Cressie, T. R. C. Read, Multinomial goodness of fit tests, J. Roy. Statist. Soc. Ser. B 46 (1984), 440-464. (1984) Zbl0571.62017MR0790631
  2. M. Goldstein E. Wolf W. Dillon, On a test of independence for contingency tables, Communications Statist. Theory Methods 2 (1976), 159-169. (1976) MR0433721
  3. K. Matusita, Decision rules, based on the distance for problems of fit, two samples and estimation, Ann. Math. Statist. 26 (1964), 631-640. (1964) MR0073899
  4. M. C. Pardo, Tests of independence for multidimensional contingency tables based on ( h , φ ) -divergence measures, Utilitas Math. 48 (1994), 75-91. (1994) MR1358591
  5. K. Pearson, On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, Philosophy Magazine Series (5) 50 (1900), 157-172. (1900) 
  6. M. Menéndez D. Morales L. Pardo I. Vajda, Divergence-based estimation and testing of statistical models of classification, J. Multivariate Anal. 54 (1995), 2, 329-354. (1995) MR1345543

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