Rank Correlation

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Rank Correlation

In statistics, the extent to which two rankings match each other. There are various systems to calculate rank correlation. However, rank correlation is expressed on a scale from -1 to +1. A measure of -1 indicates the rankings disagree perfectly (meaning they are opposite one another), while a measure of +1 means they agree perfectly (meaning they are the same). A measure of 0 means the rankings are independent of one another.
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Table 1 presents the HRR-level rank correlations between each Medicare setting and total Medicare spending in 1992 and in 2010.
While a great read, the book lacks several essentials as a reference work for further use by World War II air power historians: no index, no organizational charts or rank correlations, and a total lack of maps.
Finally, the Spearman and Kendall rank correlation test is used to assess the significance of rank correlations between 2007 and 2008.
In addition, the Spearman rank correlations were calculated and tested to see if the relative importance of the factors affecting delays of green building projects is significantly correlated with that of traditional construction projects.
We then compute the Spearman rank correlations between portfolio medians of the benchmark variable and portfolio medians of investment proxies.
This suggests that metropolitan areas with the largest busts tended to have smaller overall changes; however, in contrast to the two other rank correlations, this rank correlation is not statistically significant.
87 Table 3: Spearman's rank correlations among mean oil yield and stability parameters of six sunflower cultivars.
Rank correlations of competency appropriate to the four groups taken into study are presented in Table 1.
In this regard, Pearson's and Kendall's rank correlations have been performed, which provided average results of .
Table 1 gives two Rank Correlations one for 2003 and second for 2007 that indicate inter-temporal changes in the nature of transfers.
Using the rank correlations for MI as a benchmark, we do a t-test to see the improvements by CORDER, phi-squared, improved MI, Z score, and the two baseline algorithms.