SCL(ID:7013/scl005)

IBM statistical programming language 

for Statistical Computer Language
References:
  • Bargmann, Rolf E. "A Statistician's Instructions to the Computer: A Report on a Statistical Computer Language" view details Extract: FIVE MAIOR PORTIONS OF THE LANGUAGE
    When the proposal for the development of a statistical computer language was formulated (November 1961), five major parts were contemplated:

    Unit 1. Basic operations on matrices, including classical mathematical operations and peculiar statistical operations

    Unit 2. A macro facility which permits incorporation and execution of recurrent sequences of unit 1 operations

    Unit 3. Important statistical distribution functions (for example, binomial, normal, beta, central and noncentraI chi-square, etc.)

    Unit 4. Data generation (for example generation of arrays of zeros and ones of special patterns, random numbers, random normal numbers, etc.)

    Unit 5. Facility for communication of this system with the FMS (FORTRAN/FAP) monitor

          in Proceedings of the IBM Scientific Computing Symposium on Statistics 1963 at the Thomas J. Watson Research Center in Yorktown Heights, New York, on October 21, 22 and 23,1963. view details
  • Rolf E. Bargmann and Michael W. Browne. "Generation and Analysis of Data for Multivariate Analysis of Covariance: An Example of the Use of the Statistical Computer Language" Research Note NC-311 (1963) Thomas J. Watson Research Center, IBM view details Abstract: To facilitate translation of statistical methods into computer appplications, a problem-oriented computer language was developed and programmed by members of the Thomas J. Watson Research Center and the Federal Systems Division of the International Business Machines Corporation. Description of the system, program documentation and several illustrative examples have been prepared during the past eight months. A user's manual has been prepared. We have reached a stage of development where extensive system tryouts are possible. The programs described herein were actually run, and outputs are available. The present example deals with two "jobs": the generation of data fitting a multivariate analysis of covariance model and the analysis of such a model.
          in Proceedings of the IBM Scientific Computing Symposium on Statistics 1963 at the Thomas J. Watson Research Center in Yorktown Heights, New York, on October 21, 22 and 23,1963. view details
  • Tukey, John "The Technical Tools of Statistics" 125th Anniversary Meeting of the American Statistical Association, Boston, November 1964, also April 1965 American Statistician and view details
          in Proceedings of the IBM Scientific Computing Symposium on Statistics 1963 at the Thomas J. Watson Research Center in Yorktown Heights, New York, on October 21, 22 and 23,1963. view details