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Symbolic ARMA Model Analysis

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Abstract

ARMA models provide a parsimonious and flexible mechanism for modeling the evolution of a time series. Some useful measures of these models (e.g., the autocorrelation function or the spectral density function) are tedious to compute by hand. This paper uses a computer algebra system, not simulation, to calculate measures of interest associated with ARMA models.

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Notes

  1. The extension can be downloaded from http://www.math.wm.edu/~leemis/TSAPPL.txt and APPL can be downloaded from http://applsoftware.com/

References

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Acknowledgments

This research is partially supported by an NSF CSUMS Grant DMS–0703532 at the College of William & Mary.

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Correspondence to Lawrence M. Leemis.

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Webb, K.H., Leemis, L.M. Symbolic ARMA Model Analysis. Comput Econ 43, 313–330 (2014). https://doi.org/10.1007/s10614-013-9373-z

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  • DOI: https://doi.org/10.1007/s10614-013-9373-z

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