skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Employer`s contributions to the training of professional statisticians

Conference ·
OSTI ID:95237
 [1];  [2]
  1. Ohio State Univ., Columbus, OH (United States). Statistics Dept.
  2. Oak Ridge National Lab., TN (United States). Mathematical Sciences Section

Statistical science provides important techniques for decision making in a large variety of fields of human endeavor mainly through statistical practice. According to Deming (1965), ``Statistical practice is mostly a collaborative venture between (professional) statisticians and experts in subject-matter (area).`` The professional statistician must be properly trained in areas of statistical science most suited to the discipline in which the applications are made. Due to a large variety of applications. The education of a professional statistician by universities can only be very general. Higher education provides the theoretical basis of statistical science whereas the specific expertise needed by the professional statistician is given by the application areas. In this paper, the authors review the approach of academic programs which are geared towards applications and discuss some of the innovative strategies for preparing statisticians as consultants in industry and business. A survey (census) of statisticians at the national laboratories of the US Department of Energy was made to assess their training by universities and to get a broad view of additional training which has brought them to their present professional status. A particular interest is the extent to which employers have contributed to the training of statisticians. A few recommendations are made which may serve to improve the future training of statisticians for applied collaborative work by universities and employers.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
95237
Report Number(s):
CONF-9508139-1; ON: DE95014585; TRN: AHC29523%%32
Resource Relation:
Conference: 50. meeting of the international Statistical Institute, Beijing (China), 21-29 Aug 1995; Other Information: PBD: [1995]
Country of Publication:
United States
Language:
English