Skip to main content
Log in

An outlier test for linear processes — II. Large contamination

  • Publications
  • Published:
Metrika Aims and scope Submit manuscript

Abstract

In Flak/Schmid (1993) an outlier test for linear processes was introduced. The test statistic bases on a comparison of each observation with a one-step predictor. It was assumed that an upper bound for the total number of outlierss n is known, wheren denotes the sample size. The asymptotic distribution of the test statistic was derived under the assumption thats n/n → 0 ands n → ∞ asn → ∞. This note deals with the asymptotic behaviour of this quantity, ifs n/np 0 ∈ (0, 1).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Brockwell PJ, Davis RA (1991) Time series: Theory and methods. Springer New York

    Google Scholar 

  • Flak T, Schmid W (1993) An outlier test for linear processes. Metrika 40:299–318

    MATH  MathSciNet  Google Scholar 

  • Flak T, Schmid W (1994) Extreme sums of strictly stationary sequences ofm-dependent variables. To appear in Sankhya Ser A

  • Gorodetzkii VV (1977) On the strong mixing property for linear sequences. Theory Prob Appl 22:411–413

    Article  Google Scholar 

  • Martin RD, Yohai VJ (1985) Robustness in time series and estimating ARMA-models. Hannan EJ, Krishnaiah PR, Rao MM (eds) Handbook of Statistics 5:119–155. Elsevier Science Publishers BV

  • Mehra KL, Rao MS (1975) On functions of order statistics for mixing processes. Ann Statist 3(4):874–883

    MATH  MathSciNet  Google Scholar 

  • Rosenblatt M (1985) Stationary sequences and random fields. Birkhaeuser Boston

    MATH  Google Scholar 

  • Schmid W (1990) Ausreißertests und Ausreißeridentifikation bei Zeitreihen. Habilitationsschrift Universität Ulm Germany

    Google Scholar 

  • Shorack GR, Wellner JA (1986) Empirical processes with applications to statistics. Wiley New York

    Google Scholar 

  • Utev SA (1990) On the central limit theorems for φ-mixing arrays of random variables. Theory Probab Appl 35(1):131–139

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Flak, T., Schmid, W. An outlier test for linear processes — II. Large contamination. Metrika 43, 31–42 (1996). https://doi.org/10.1007/BF02613895

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02613895

Key Words

Navigation