Theoretical Statistician

A Theoretical Statistician is a statistician who develops statistical theory.

• 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):
  • an Applied Statistician.
  • a Theoretical Computer Scientist.
• See: Theoretical Statistics, Applied Statistician, Theoretical Mathematician.

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References

2011

• http://www.salaryexpert.com/index.cfm?fuseaction=Browse.Overland-Park-Kansas-Theoretical-Statistician-salary-data-details&PositionId=107123&CityId=2451
  • Theoretical Statistician: Conducts research into mathematical theories and proofs that form basis of science of statistics and develops statistical methodology. Typically requires an advanced degree in field of specialty. Positions covered by this definition are characterized by the inclusion of work that requires an understanding of both theories and principles.
  • Examines theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data. Develops and tests experimental designs, sampling techniques, and analytical methods, and prepares recommendations concerning their utilization in statistical surveys, experiments, and tests. Investigates, evaluates, and prepares reports on applicability, efficiency, and accuracy of statistical methods used by physical and social scientists, including statisticians in obtaining and evaluating data. (Source: eDOT Job Description)

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