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A kappa-like statistic is proposed as a measure of agreement for a set of multinomial random variables arrayed in a two-way layout. This statistic is shown to arise either via the chancecorrection of a certain proportion of agreement or via an analysis of variance for a two-way layout. The asymptotic standard error is derived under the assumption of complete independence among the random variables.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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