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Non-Gaussian series and series with non-zero means: Practical implications for time series analysis

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  • Lusk, Eward J.
  • Wright, Haviland

Abstract

This paper presents a discussion of the relationship between the distribution of the input and the distribution of the output of linear filters. The purpose of the discussion is to focus attention on several fundamental aspects of developing ARIMA models which seem to be overlooked routinely in practice. The authors discuss the implications of non-normally distributed time series realizations and examine the effect of failure to estimate the constant parameter in developing ARIMA models.

Suggested Citation

  • Lusk, Eward J. & Wright, Haviland, 1982. "Non-Gaussian series and series with non-zero means: Practical implications for time series analysis," Statistics & Probability Letters, Elsevier, vol. 1(1), pages 2-6, July.
    • Handle: RePEc:eee:stapro:v:1:y:1982:i:1:p:2-6
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