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  2. Letter frequency - Wikipedia

    en.wikipedia.org/wiki/Letter_frequency

    Letter frequency is the number of times letters of the alphabet appear on average in written language. Letter frequency analysis dates back to the Arab mathematician Al-Kindi (c. 801 –873 AD), who formally developed the method to break ciphers. Letter frequency analysis gained importance in Europe with the development of movable type in 1450 ...

  3. Frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Frequency_analysis

    In cryptanalysis, frequency analysis (also known as counting letters) is the study of the frequency of letters or groups of letters in a ciphertext. The method is used as an aid to breaking classical ciphers. Frequency analysis is based on the fact that, in any given stretch of written language, certain letters and combinations of letters occur ...

  4. Zipf's law - Wikipedia

    en.wikipedia.org/wiki/Zipf's_law

    In the parabolic fractal distribution, the logarithm of the frequency is a quadratic polynomial of the logarithm of the rank. This can markedly improve the fit over a simple power-law relationship. [36] Like fractal dimension, it is possible to calculate Zipf dimension, which is a useful parameter in the analysis of texts. [37]

  5. Scrabble letter distributions - Wikipedia

    en.wikipedia.org/wiki/Scrabble_letter_distributions

    The score of 20 for a K is the highest known point value for any letter in any Scrabble score distribution worldwide. The fourth distribution, which uses U instead of V, and includes Y, is as follows: [ 34 ] 2 blank tiles (scoring 0 points) 1 point: E ×10, A ×9, I ×9, S ×9, T ×9, U ×9. 2 points: M ×6, N ×6, O ×6, R ×6.

  6. Index of coincidence - Wikipedia

    en.wikipedia.org/wiki/Index_of_coincidence

    Index of coincidence. In cryptography, coincidence counting is the technique (invented by William F. Friedman [1]) of putting two texts side-by-side and counting the number of times that identical letters appear in the same position in both texts. This count, either as a ratio of the total or normalized by dividing by the expected count for a ...

  7. Benford's law - Wikipedia

    en.wikipedia.org/wiki/Benford's_law

    This is an accepted version of this page This is the latest accepted revision, reviewed on 17 September 2024. Observation that in many real-life datasets, the leading digit is likely to be small Not to be confused with the unrelated adage Benford's law of controversy. The distribution of first digits, according to Benford's law. Each bar represents a digit, and the height of the bar is the ...

  8. Frequency (statistics) - Wikipedia

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

    Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample. This is an example of a univariate (=single variable) frequency table. The frequency of each response to a survey question is depicted.

  9. Position weight matrix - Wikipedia

    en.wikipedia.org/wiki/Position_weight_matrix

    Often, it is more useful to calculate the information content with the background letter frequencies of the sequences you are studying rather than assuming equal probabilities of each letter (e.g., the GC-content of DNA of thermophilic bacteria range from 65.3 to 70.8, [3] thus a motif of ATAT would contain much more information than a motif of ...