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  2. Concordant pair - Wikipedia

    en.wikipedia.org/wiki/Concordant_pair

    In statistics, a concordant pair is a pair of observations, each on two variables, (X 1,Y 1) and (X 2,Y 2), having the property that ⁡ = ⁡ (), where "sgn" refers to whether a number is positive, zero, or negative (its sign).

  3. Concordance correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Concordance_correlation...

    The concordance correlation coefficient is nearly identical to some of the measures called intra-class correlations.Comparisons of the concordance correlation coefficient with an "ordinary" intraclass correlation on different data sets found only small differences between the two correlations, in one case on the third decimal. [2]

  4. Somers' D - Wikipedia

    en.wikipedia.org/wiki/Somers'_D

    Somers’ D takes values between when all pairs of the variables disagree and when all pairs of the variables agree. Somers’ D is named after Robert H. Somers, who proposed it in 1962. [1] Somers’ D plays a central role in rank statistics and is the parameter behind many nonparametric methods. [2]

  5. Kendall rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Kendall_rank_correlation...

    All points in the gray area are concordant and all points in the white area are discordant with respect to point (,). With = points, there are a total of () = possible point pairs. In this example there are 395 concordant point pairs and 40 discordant point pairs, leading to a Kendall rank correlation coefficient of 0.816.

  6. Goodman and Kruskal's gamma - Wikipedia

    en.wikipedia.org/wiki/Goodman_and_Kruskal's_gamma

    In statistics, Goodman and Kruskal's gamma is a measure of rank correlation, i.e., the similarity of the orderings of the data when ranked by each of the quantities.It measures the strength of association of the cross tabulated data when both variables are measured at the ordinal level.

  7. Rank correlation - Wikipedia

    en.wikipedia.org/wiki/Rank_correlation

    The only pair that does not support the hypothesis are the two runners with ranks 5 and 6, because in this pair, the runner from Group B had the faster time. By the Kerby simple difference formula, 95% of the data support the hypothesis (19 of 20 pairs), and 5% do not support (1 of 20 pairs), so the rank correlation is r = .95 − .05 = .90.

  8. Methodology - data.huffingtonpost.com

    data.huffingtonpost.com/2016/we-the-tweeple/...

    We counted how many Clinton and/or Trump followers wrote each stemmed token (e.g., “work”). Then we did the same for each pair of stemmed tokens (e.g., “work full”), each trio of stemmed tokens (“work full time”), and so on, up to each sequence of 10 stemmed tokens. We called these sequences of stemmed tokens groups.

  9. Talk:Kendall rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Talk:Kendall_rank...

    So, a high value in the numerator means that most pairs are concordant, indicating that the two rankings are consistent. Note that a tied pair is not regarded as concordant or discordant. If there is a large number of ties, the total number of pairs (in the denominator of the expression of ) should be adjusted accordingly."

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