Statistician

A Statistician is a mathematician who can perform statistical task.

• Context:
  • They can (typically) be from the Statistics Discipline.
  • They can (typically) be knowledgeable in Statistical Theory.
  • They can range from being an Applied Statistician to being a Theoretical Statistician.
• Example(s):
  • Thomas Bayes (1701-1761).
  • Andrei A. Markov (1856-1922).
  • Karl Pearson (1857-1936).
  • Ronald A. Fisher (1890-1962).
  • Andrei Kolmogorov.
  • Claude Shannon.
  • …
• Counter-Example(s):
  • a Machine Learning Researcher.
  • a Data Miner.
  • a Physicist.
• See: Statistics Publication.

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References

2014

• (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Statistician Retrieved:2014-9-20.
  • A statistician is someone who works with theoretical or applied statistics. The profession exists in both the private and public sectors. It is common to combine statistical knowledge with expertise in other subjects.

• http://www.bls.gov/ooh/math/statisticians.htm
  • Statisticians use statistical methods to collect and analyze data and help solve real-world problems in business, engineering, the sciences, or other fields.

2009

• (WordNet, 2009) ⇒ http://wordnetweb.princeton.edu/perl/webwn?s=statistician
  • S: (n) statistician, mathematical statistician (a mathematician who specializes in statistics)
  • S: (n) statistician, actuary (someone versed in the collection and interpretation of numerical data (especially someone who uses statistics to calculate insurance premiums))

2006

• (Mitchell, 2006) ⇒ Tom M. Mitchell. (2006). “The Discipline of Machine Learning." Machine Learning Department technical report CMU-ML-06-108, Carnegie Mellon University.
  • A Statistician asks: “What can be inferred from data plus a set of modeling assumptions, with what reliability?”

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