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Data structures—the problem of time series computing

Published online by Cambridge University Press:  14 July 2016

Abstract

The scope of statistical packages is largely defined by the data structures supported. It is claimed that none of the standard structures used in major packages is wholly suitable for time series data and this is the major reason why time series has not benefited from modern developments in statistical computing.

Type
Part 7—Algorithms and Computations
Copyright
Copyright © 1986 Applied Probability Trust 

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References

Alvey, N. G. et al. (1977) GENSTAT, a General Statistical Program. Numerical Algorithms Group, Oxford.Google Scholar
Becker, R. A. and Chambers, J. M. (1978) Design and implementation of the S system for interactive data analysis. Proc. IEEE Compsac 78, 626629.Google Scholar
Goodnight, J. H. (1982) SAS User's Guide. SAS Institute, Cary, North Carolina.Google Scholar
Henstridge, J. D. (1980) TSA, a package for time series analysis and manipulation. In COMPSTAT-80 , ed. Barritt, M. M. and Wishart, D., Physica Verlag, Wien.Google Scholar
Henstridge, J. D. (1982) TSA, an Interactive Package for Time Series Analysis. Numerical Algorithms Group, Oxford.Google Scholar
Nie, N. H. (1975) SPSS, Statistical Package for the Social Sciences , 2nd edn. McGraw-Hill, New York.Google Scholar
Payne, R. W. and Nelder, J. A. (1976) Data structures in statistical computing. Proc. 9th Biometric Conf. 2, 191208.Google Scholar
Yates, F. (1976) The Rothamsted General Survey Program. Program Library Unit, University of Edinburgh.Google Scholar