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2. Rank abundance curve - Wikipedia

   en.wikipedia.org/wiki/Rank_abundance_curve

   Quantitative comparison of rank abundance curves of different communities can be done using RADanalysis package in R.This package uses the max rank normalization method [1] in which a rank abundance distribution is made by normalization of rank abundance curves of communities to the same number of ranks and then normalize the relative abundances to one.

3. Bland's rule - Wikipedia

   en.wikipedia.org/wiki/Bland's_rule

   One uses Bland's rule during an iteration of the simplex method to decide first what column (known as the entering variable) and then row (known as the leaving variable) in the tableau to pivot on. Assuming that the problem is to minimize the objective function, the algorithm is loosely defined as follows:

4. Ranking (statistics) - Wikipedia

   en.wikipedia.org/wiki/Ranking_(statistics)

   In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted.. For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.

5. Percentile rank - Wikipedia

   en.wikipedia.org/wiki/Percentile_rank

   The figure illustrates the percentile rank computation and shows how the 0.5 × F term in the formula ensures that the percentile rank reflects a percentage of scores less than the specified score. For example, for the 10 scores shown in the figure, 60% of them are below a score of 4 (five less than 4 and half of the two equal to 4) and 95% are ...

6. Simplex algorithm - Wikipedia

   en.wikipedia.org/wiki/Simplex_algorithm

   The new tableau is in canonical form but it is not equivalent to the original problem. So a new objective function, equal to the sum of the artificial variables, is introduced and the simplex algorithm is applied to find the minimum; the modified linear program is called the Phase I problem. [23]

7. HuffPost Data

   data.huffingtonpost.com

   HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.

8. Kendall rank correlation coefficient - Wikipedia

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

   Intuitively, the Kendall correlation between two variables will be high when observations have a similar (or identical for a correlation of 1) rank (i.e. relative position label of the observations within the variable: 1st, 2nd, 3rd, etc.) between the two variables, and low when observations have a dissimilar (or fully different for a ...

9. Spearman's rank correlation coefficient - Wikipedia

   en.wikipedia.org/wiki/Spearman's_rank_correlation...

   The second approach to approximating the Spearman's rank correlation coefficient from streaming data involves the use of Hermite series based estimators. [19] These estimators, based on Hermite polynomials, allow sequential estimation of the probability density function and cumulative distribution function in univariate and bivariate cases ...