论文信息 - Finding condensed descriptions for multi-dimensional data.

Finding condensed descriptions for multi-dimensional data.

We describe two programs that may be used to find condensed descriptions for data available in a contingency table or in a covariance matrix in the case that these data follow a multinomial or a multivariate normal distribution, respectively. The programs perform a stepwise model search among multiplicative models by computing appropirate likelihood-ratio test statistics.

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