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SLANG, a Statistical Language for Descriptive Time Series Analysis

In: Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface

Author

Listed:
  • M. Nicolai

    (United Nations Industrial Development Organization)

  • R. Cheng

    (United Nations Industrial Development Organization)

Abstract

SLANG is a language designed to provide easy access to a statistical database for users who have little or no programming experience. This language, which can operate in both interactive and batch mode, allows retrieval and descriptive analyses of time series. For more complex analyses, the retrieval capability of SLANG can also be used as a bridge between a statistical database and those commercially available statistical analysis packages which support only sequential input. Design highlights presented in the paper are: a syntax which allows only a small number of statement types, simple data types and a library of functions which users can extend to increase the power of the language. User experience and efficiency considerations are also discussed. SLANG currently operates under IBM’s MVS on a database of international statistics managed by ADABAS.

Suggested Citation

  • M. Nicolai & R. Cheng, 1981. "SLANG, a Statistical Language for Descriptive Time Series Analysis," Springer Books, in: William F. Eddy (ed.), Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, pages 320-323, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-9464-8_49
    DOI: 10.1007/978-1-4613-9464-8_49
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