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Kruskal count information


The Kruskal count[1][2] (also known as Kruskal's principle,[3][4][5][6][7] Dynkin–Kruskal count,[8] Dynkin's counting trick,[9] Dynkin's card trick,[10][11][12][13] coupling card trick[14][15][16] or shift coupling[10][11][12][13]) is a probabilistic concept originally demonstrated by the Russian mathematician Evgenii Borisovich Dynkin in the 1950s or 1960s[when?] discussing coupling effects[14][15][9][16] and rediscovered as a card trick by the American mathematician Martin David Kruskal in the early 1970s[17][nb 1] as a side-product while working on another problem.[18] It was published by Kruskal's friend[19] Martin Gardner[20][1] and magician Karl Fulves in 1975.[21] This is related to a similar trick published by magician Alexander F. Kraus in 1957 as Sum total[22][23][24][25] and later called Kraus principle.[2][7][25][18]

Besides uses as a card trick, the underlying phenomenon has applications in cryptography, code breaking, software tamper protection, code self-synchronization, control-flow resynchronization, design of variable-length codes and variable-length instruction sets, web navigation, object alignment, and others.

  1. ^ a b Cite error: The named reference Gardner_1978 was invoked but never defined (see the help page).
  2. ^ a b Cite error: The named reference Gardner_1989 was invoked but never defined (see the help page).
  3. ^ Cite error: The named reference Haga-Robins_1995 was invoked but never defined (see the help page).
  4. ^ Cite error: The named reference Pollard_1978 was invoked but never defined (see the help page).
  5. ^ Cite error: The named reference Pollard_2000_1 was invoked but never defined (see the help page).
  6. ^ Cite error: The named reference Pollard_2000_2 was invoked but never defined (see the help page).
  7. ^ a b Cite error: The named reference MacTier_2000 was invoked but never defined (see the help page).
  8. ^ Cite error: The named reference Artymowicz_2020 was invoked but never defined (see the help page).
  9. ^ a b Cite error: The named reference Jiang_2010 was invoked but never defined (see the help page).
  10. ^ a b Cite error: The named reference Barthe_2016 was invoked but never defined (see the help page).
  11. ^ a b Cite error: The named reference Barthe-Grégoire-Hsu-Strub_2016 was invoked but never defined (see the help page).
  12. ^ a b Cite error: The named reference Barthe-Espitau-Grégoire-Hsu-Stefanesco-Strub_2017 was invoked but never defined (see the help page).
  13. ^ a b Cite error: The named reference Hsu_2018 was invoked but never defined (see the help page).
  14. ^ a b Cite error: The named reference Durrett_1991 was invoked but never defined (see the help page).
  15. ^ a b Cite error: The named reference Kovchegov_2007 was invoked but never defined (see the help page).
  16. ^ a b Cite error: The named reference Weinhold_2011 was invoked but never defined (see the help page).
  17. ^ Cite error: The named reference Diaconis-Graham_2012 was invoked but never defined (see the help page).
  18. ^ a b Cite error: The named reference Nishiyama_2013 was invoked but never defined (see the help page).
  19. ^ Cite error: The named reference Farrell_2010 was invoked but never defined (see the help page).
  20. ^ Cite error: The named reference Gardner_1975 was invoked but never defined (see the help page).
  21. ^ Cite error: The named reference Fulves_1975 was invoked but never defined (see the help page).
  22. ^ Cite error: The named reference Kraus_1957 was invoked but never defined (see the help page).
  23. ^ Cite error: The named reference Kraus_1958 was invoked but never defined (see the help page).
  24. ^ Cite error: The named reference Ransom-Katz_1958 was invoked but never defined (see the help page).
  25. ^ a b Cite error: The named reference Havil_2008 was invoked but never defined (see the help page).


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Kruskal count

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The Kruskal count (also known as Kruskal's principle, Dynkin–Kruskal count, Dynkin's counting trick, Dynkin's card trick, coupling card trick or shift...

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Martin David Kruskal

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from serious mathematical work, Kruskal was known for mathematical diversions. For example, he invented the Kruskal count, a magical effect that has been...

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Machine code

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limits of the control-flow resynchronizing phenomenon known as the Kruskal count, sometimes possible through opcode-level programming to deliberately...

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List of statistical tests

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January 2003). "An Algorithm for Computing the Exact Distribution of the Kruskal–Wallis Test". Communications in Statistics - Simulation and Computation...

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Poisson regression

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is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable...

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Numberphile

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mathematical concepts such as Fermat's Last Theorem, the Riemann hypothesis and Kruskal's tree theorem. The videos are produced by Brady Haran, a former BBC video...

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Van der Waerden test

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are equal. The Van der Waerden test converts the ranks from a standard Kruskal-Wallis test to quantiles of the standard normal distribution (details given...

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Percentile rank

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{CF-(0.5\times F)}{N}}\times 100,} where CF—the cumulative frequency—is the count of all scores less than or equal to the score of interest, F is the frequency...

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Black hole

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into a black hole. A complete extension had already been found by Martin Kruskal, who was urged to publish it. These results came at the beginning of the...

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Arithmetic mean

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context is clear) is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results from...

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Isotonic regression

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This package also provides analytical confidence-interval estimates. Kruskal, J. B. (1964). "Nonmetric Multidimensional Scaling: A numerical method"...

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Standard deviation

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Hodges–Lehmann estimator Rank sum (Mann–Whitney) Nonparametric anova 1-way (Kruskal–Wallis) 2-way (Friedman) Ordered alternative (Jonckheere–Terpstra) Van...

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Generalized normal distribution

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}}\right)&{\text{if }}k{\text{ is even.}}\end{cases}}} From the viewpoint of the Stable count distribution, β {\displaystyle \beta } can be regarded as Lévy's stability...

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Friedman test

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analysis of variance by ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks. The Friedman test is widely...

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Bivariate analysis

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Hodges–Lehmann estimator Rank sum (Mann–Whitney) Nonparametric anova 1-way (Kruskal–Wallis) 2-way (Friedman) Ordered alternative (Jonckheere–Terpstra) Van...

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Descriptive statistics

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A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information...

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Bar chart

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Hodges–Lehmann estimator Rank sum (Mann–Whitney) Nonparametric anova 1-way (Kruskal–Wallis) 2-way (Friedman) Ordered alternative (Jonckheere–Terpstra) Van...

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Scree plot

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Hodges–Lehmann estimator Rank sum (Mann–Whitney) Nonparametric anova 1-way (Kruskal–Wallis) 2-way (Friedman) Ordered alternative (Jonckheere–Terpstra) Van...

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Census

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intent is to count everyone in a population, rather than a fraction. However, population censuses do rely on a sampling frame to count the population...

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Correlation coefficient

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of the portion of ranks that match between two data sets. Goodman and Kruskal's gamma is a measure of the strength of association of the cross tabulated...

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