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Data Analysis Using SAS

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  • CHARLIE HALLAHAN

    (USDA/Economic Research Service)

Abstract

This article discusses SAS as a language and environment for statistical computing. The SAS System has developed over the past 20 years from being primarily a statistical package into providing a diversified system for managing and analyzing data. The part of SAS most appropriate for statistical computing is the interactive matrix language, SAS/IML. IML is used to illustrate tasks such as M-estimation, bootstrapping, and kernel density estimation. An extensive collection of preprogrammed statistical procedures is available in SAS to carry out more standard statistical analyses such as generalized linear models or categorical modeling.

Suggested Citation

  • Charlie Hallahan, 1995. "Data Analysis Using SAS," Sociological Methods & Research, , vol. 23(3), pages 373-391, February.
  • Handle: RePEc:sae:somere:v:23:y:1995:i:3:p:373-391
    DOI: 10.1177/0049124195023003006
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