M.S. (Master of Science)
Department of Mathematical Sciences
Chi-square test||Contingency tables
This thesis is concerned with comparisons of chi-square tests in an I x J x K contingency table. The hypotheses examined were no-three-factor interaction, conditional independence, and complete independence. Monte Carlo techniques were used to study the behavior of a variety of tests defined by the Crcssie-Rcad family of power divergence statistics for small and moderately sized samples. Results suggest that power divergence statistics in the range λ ε [0.4,1.2] perform well in terms of their nominal values and power. The Pearson Χ² and the Cressie-Rcad 1(2/3) statistic perform equally well. The Χ² has a slight edge over 1(2/3) for each of the three hypotheses.
Cavenee, Patricia L., "A comparison of power divergence statistics for testing hypotheses in three-dimensional contingency tables" (1989). Graduate Research Theses & Dissertations. 178.
xii, 275 pages
Northern Illinois University
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