The chi-square test is a statistical hypothesis test that is used to compare observed and expected counts in a contingency table. Its uses include: tests for independence, tests for homogeneity, and ...

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When applying the Markov model, it is often assumed the transition matrix is stationary and of order one. This article considers the problem of applying the transformed likelihood ratio statistic and ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique A modified chi-square test statistic is constructed for testing the hypothesis of independence in a two-way contingency table ...