SOME EXACT CONDITIONAL TESTS OF INDEPENDENCE FOR, R × C CROSS-CLASSIFICATION TABLES

作者: Alan Agresti , Dennis Wackerly

DOI: 10.1007/BF02293748

关键词: StatisticsMathematicsStatistical hypothesis testingIndependence (probability theory)Marginal distributionStatisticContingency tableSample size determinationExact testFisher's exact testEconometrics

摘要: Exact conditional tests of independence in cross-classification tables are formulated based on theχ 2 statistic and statistics with stronger operational interpretations, such as some nominal ordinal measures association. Guidelines for the table dimensions sample sizes which economically implemented a computer given. Some selected marginal distributions used numerical comparison between significance levels approximate exact statistic.

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