Randomness tests

Results: 33



#Item
1Constructing empirical tests of randomness ˇ Marek S´ys, Petr Svenda, Martin Ukrop, Vashek Maty´asˇ Masaryk University, Botanicka 68a, Brno, Czech Republic syso, svenda, ,

Constructing empirical tests of randomness ˇ Marek S´ys, Petr Svenda, Martin Ukrop, Vashek Maty´asˇ Masaryk University, Botanicka 68a, Brno, Czech Republic syso, svenda, ,

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Source URL: crocs.fi.muni.cz

Language: English - Date: 2018-04-25 10:30:18
    2Language is never, ever, ever, random ADAM KILGARRIFF Abstract Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which

    Language is never, ever, ever, random ADAM KILGARRIFF Abstract Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which

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    Source URL: www.kilgarriff.co.uk

    Language: English - Date: 2014-03-09 16:16:05
    3Spectral Distribution of Pseudo-random Matrices Vahid Tarokh Harvard University, USA Abstract In the previous century, much work has been done on the spectra of random matrices. However, not much is known about the spect

    Spectral Distribution of Pseudo-random Matrices Vahid Tarokh Harvard University, USA Abstract In the previous century, much work has been done on the spectra of random matrices. However, not much is known about the spect

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    Source URL: seta2012.uwaterloo.ca

    Language: English - Date: 2012-02-01 23:18:51
    4Monkey See, Monkey Do: Effective Generation of GUI Tests with Inferred Macro Events Markus Ermuth Michael Pradel

    Monkey See, Monkey Do: Effective Generation of GUI Tests with Inferred Macro Events Markus Ermuth Michael Pradel

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    Source URL: mp.binaervarianz.de

    Language: English - Date: 2016-06-10 06:03:16
    5Automation of statistical tests on randomness to obtain clearer conclusion Hiroshi Haramoto Abstract Statistical testing of pseudorandom number generators (PRNGs) is indispensable for their evaluation. A common difficul

    Automation of statistical tests on randomness to obtain clearer conclusion Hiroshi Haramoto Abstract Statistical testing of pseudorandom number generators (PRNGs) is indispensable for their evaluation. A common difficul

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    Source URL: www.math.sci.hiroshima-u.ac.jp

    Language: English - Date: 2012-07-10 01:31:06
    6MUGI Pseudorandom Number Generator Self-evaluation Report Ver. 1.1 Hitachi, Ltdc

    MUGI Pseudorandom Number Generator Self-evaluation Report Ver. 1.1 Hitachi, Ltdc

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    Source URL: www.hitachi.co.jp

    Language: English - Date: 2015-04-05 21:00:45
    7Schweizerische Eidgenossenschaft Confederatiol1 suisse Confeder<lzione Confederaziun  Svizzera

    Schweizerische Eidgenossenschaft Confederatiol1 suisse ConfederAdd to Reading List

    Source URL: www.idquantique.com

    Language: English - Date: 2015-03-23 10:17:12
    8Schweizerische Eidgenossenschaft Confederatiol1 suisse Confeder<lzione Confederaziun  Svizzera

    Schweizerische Eidgenossenschaft Confederatiol1 suisse ConfederAdd to Reading List

    Source URL: www.idquantique.com

    Language: English - Date: 2015-03-23 10:17:12
    9REDEFINING RANDOMNESS  QUANTIS WHEN RANDOM NUMBERS CANNOT BE LEFT TO CHANCE  RANDOMNESS TEST REPORT

    REDEFINING RANDOMNESS QUANTIS WHEN RANDOM NUMBERS CANNOT BE LEFT TO CHANCE RANDOMNESS TEST REPORT

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    Source URL: www.idquantique.com

    Language: English - Date: 2015-03-23 10:17:12
    10RDieHarder: An R interface to the DieHarder RNG test suite Dirk Eddelbuettel1 Robert G. Brown2

    RDieHarder: An R interface to the DieHarder RNG test suite Dirk Eddelbuettel1 Robert G. Brown2

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    Source URL: user2007.org

    Language: English - Date: 2007-09-04 14:51:58