Entry Block:2010:GEB from amstat.bib

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BibTeX entry

@Article{Block:2010:GEB,
  author =       "Henry W. Block and Thomas H. Savits",
  title =        "A General Example for {Benford} Data",
  journal =      j-AMER-STAT,
  volume =       "64",
  number =       "4",
  pages =        "335--339",
  month =        nov,
  year =         "2010",
  CODEN =        "ASTAAJ",
  DOI =          "https://doi.org/10.1198/tast.2010.09169",
  ISSN =         "0003-1305 (print), 1537-2731 (electronic)",
  ISSN-L =       "0003-1305",
  bibdate =      "Wed Nov 9 17:20:17 MST 2011",
  bibsource =    "http://www.amstat.org/publications/tas/;
                 http://www.math.utah.edu/pub/tex/bib/amstat.bib",
  abstract =     "Benford's Law deals, among other things, with the
                 proportion of numbers whose first significant digit is
                 a $1$ (e.g., $0.00131$ and $19668$ both have first
                 significant digit $1$) in a variety of datasets. In
                 these datasets, which arise in various compendiums or
                 as mixtures of various sets of numbers, the proportion
                 of numbers with first significant digit one is $0.3010$
                 which is much higher than the commonsense value of $1 /
                 9$. The reasons for this occurrence have been elusive.
                 Mathematical attempts to explain this phenomenon have
                 been relatively fruitless. Methods involving
                 probability have been somewhat more successful. In this
                 article we give some simple reasons for this occurrence
                 and also give an example of a general mixture of
                 distributions which exactly satisfies this Law. Various
                 other examples and counterexamples are also given.",
  acknowledgement = ack-nhfb,
  fjournal =     "The American Statistician",
}

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