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Table 3.

Significance p (in %) and variance ratio for the height clusters of the NCEP54 dataset. Significance is assessed against synthetic Markov model datasets constructed using same variance and lag-1 correlation for the indicated number of PCs, as a function of cluster number k. Here p is given as the percentage of synthetic datasets having a variance ratio less than the NCEP54 dataset. (Values greater than 90% are bold.) The variance ratio is the ratio of the variance between cluster centroids to the mean, weighted intracluster variance. See text for details.

Significance p (in %) and variance ratio for the height clusters of the NCEP54 dataset. Significance is assessed against synthetic Markov model datasets constructed using same variance and lag-1 correlation for the indicated number of PCs, as a function of cluster number k. Here p is given as the percentage of synthetic datasets having a variance ratio less than the NCEP54 dataset. (Values greater than 90% are bold.) The variance ratio is the ratio of the variance between cluster centroids to the mean, weighted intracluster variance. See text for details.
Significance p (in %) and variance ratio for the height clusters of the NCEP54 dataset. Significance is assessed against synthetic Markov model datasets constructed using same variance and lag-1 correlation for the indicated number of PCs, as a function of cluster number k. Here p is given as the percentage of synthetic datasets having a variance ratio less than the NCEP54 dataset. (Values greater than 90% are bold.) The variance ratio is the ratio of the variance between cluster centroids to the mean, weighted intracluster variance. See text for details.
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