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  2. Ranking (statistics) - Wikipedia

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

    The distribution of values in decreasing order of rank is often of interest when values vary widely in scale; this is the rank-size distribution (or rank-frequency distribution), for example for city sizes or word frequencies. These often follow a power law. Some ranks can have non-integer values for tied data values.

  3. Rank–size distribution - Wikipedia

    en.wikipedia.org/wiki/Rank–size_distribution

    Rank–size distribution is the distribution of size by rank, in decreasing order of size. For example, if a data set consists of items of sizes 5, 100, 5, and 8, the rank-size distribution is 100, 8, 5, 5 (ranks 1 through 4). This is also known as the rankfrequency distribution, when the source data are from a frequency distribution. These ...

  4. Order statistic - Wikipedia

    en.wikipedia.org/wiki/Order_statistic

    Given any random variables X 1, X 2, ..., X n, the order statistics X (1), X (2), ..., X (n) are also random variables, defined by sorting the values (realizations) of X 1, ..., X n in increasing order. When the random variables X 1, X 2, ..., X n form a sample they are independent and identically distributed. This is the case treated below.

  5. Zipf's law - Wikipedia

    en.wikipedia.org/wiki/Zipf's_law

    The actual rank-frequency plot of a natural language text deviates in some extent from the ideal Zipf distribution, especially at the two ends of the range. The deviations may depend on the language, on the topic of the text, on the author, on whether the text was translated from another language, and on the spelling rules used.

  6. Zipf–Mandelbrot law - Wikipedia

    en.wikipedia.org/wiki/Zipf–Mandelbrot_law

    The distribution of words ranked by their frequency in a random text corpus is approximated by a power-law distribution, known as Zipf's law.. If one plots the frequency rank of words contained in a moderately sized corpus of text data versus the number of occurrences or actual frequencies, one obtains a power-law distribution, with exponent close to one (but see Powers, 1998 and Gelbukh ...

  7. Ranking - Wikipedia

    en.wikipedia.org/wiki/Ranking

    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. As another example, the ordinal data hot, cold, warm would be replaced by 3, 1, 2. In these examples, the ranks are assigned to values in ascending order, although descending ranks can also be used.

  8. 17 Hilarious Comics That Show What Happens When Modern Life ...

    www.aol.com/medieval-humor-modern-problems-17...

    Ilya Stallone takes the quirky charm of medieval art and mashes it up with the chaos of modern life, creating comics that feel both hilarious and oddly timeless. Using a style straight out of ...

  9. Rank correlation - Wikipedia

    en.wikipedia.org/wiki/Rank_correlation

    An increasing rank correlation coefficient implies increasing agreement between rankings. The coefficient is inside the interval [−1, 1] and assumes the value: 1 if the agreement between the two rankings is perfect; the two rankings are the same. 0 if the rankings are completely independent.