Entry Marsaglia:2004:BURa from statproblett2000.bib

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BibTeX entry

@Article{Marsaglia:2004:BURa,
  author =       "George Marsaglia and Wai Wan Tsang",
  title =        "The $ 64$-bit universal {RNG}",
  journal =      j-STAT-PROB-LETT,
  volume =       "66",
  number =       "2",
  pages =        "183--187",
  day =          "15",
  month =        jan,
  year =         "2004",
  CODEN =        "SPLTDC",
  DOI =          "https://doi.org/10.1016/j.spl.2003.11.001",
  ISSN =         "0167-7152 (print), 1879-2103 (electronic)",
  ISSN-L =       "0167-7152",
  MRclass =      "65C10",
  MRnumber =     "2 029 733",
  bibdate =      "Sun Jun 1 11:16:48 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/bibnet/authors/m/marsaglia-george.bib;
                 http://www.math.utah.edu/pub/tex/bib/prng.bib;
                 http://www.math.utah.edu/pub/tex/bib/statproblett2000.bib;
                 MathSciNet database",
  URL =          "http://www.doornik.com/research/randomdouble.pdf;
                 http://www.sciencedirect.com/science/article/pii/S0167715203003353",
  ZMnumber =     "02041513",
  abstract =     "We describe a random number generator that produces
                 uniform $ [0, 1) $ variates directly, as 64-bit
                 floating point numbers, without the customary floating
                 of integers. Using only subtraction and tests on
                 magnitude, the method is readily implemented and
                 should, given the same seed values, produce exactly the
                 same random numbers with most programming languages.
                 The resulting numbers have a very long period ($
                 \approx 2^{202} $ or $ 10^{61} $ ) and apparently
                 excellent randomness---supported by extensive
                 testing.",
  acknowledgement = ack-nhfb,
  fjournal =     "Statistics \& Probability Letters",
  journal-URL =  "http://www.sciencedirect.com/science/journal/01677152",
  keywords =     "64-bit floating point; Random number generators;
                 Seeds",
  ZMclass =      "*62-99 Statistics",
}

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