Skip to main content
Log in

Test to compare two population logspectra

  • Published:
Computational Statistics Aims and scope Submit manuscript

Summary

The objective of this paper is to compare time series patterns generated over two populations. A random sample of objects is chosen from each population. On each object, a stationary process with an absolutely continuous spectral distribution is observed at the same times. We assume that the logarithm of the periodogram from each time series follows a model which involves the pattern of each population. A statistical test is proposed which will compare these patterns. The probability distribution of the test under the null hypothesis is approximated by the bootstrap. The consistency of the method is analyzed using the Mallows metric. A simulation study is also carried out.

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.

Fig 1
Fig 2

Similar content being viewed by others

References

  1. Artiles, J., Hernández, C.N., Luengo I. and Saavedra, P. (2002). A Comparison of two Populations spectrums Communications in Statistics Theory and Methods, in revision.

  2. Bickel, P. and Freedman, D. (1981). Some Asymptotic Theory for the Bootstrap. Ann. Statist., 9 1196–1217.

    Article  MathSciNet  Google Scholar 

  3. Davis, H. T. and Jones, R.H. (1968). Estimation of the Innovation Variance of a Stationary Time Series. Journal of American Statistical Association, 63, 141–149.

    MathSciNet  MATH  Google Scholar 

  4. Diggle, P. J. and Al-Wasel, I. (1993). On Periodogram-Based Spectral Estimation for Replicated Time Series, in: Subba Rao (Ed), Developments in Time Series Analysis. Chapman and Hall, Great Britain, 341–354.

    Chapter  Google Scholar 

  5. Diggle, P. J. and Al-Wasel, I. (1997). Spectral Analysis of Replicated Biomedical Time Series. Appl. Statist., 46, 31–71.

    MathSciNet  MATH  Google Scholar 

  6. Fan, J. and Gijbels, I. (1996). Local Polynomial Modelling and its Applications. Chapman and Hall.

  7. Franke, J. and Härdle, W. (1992). On Bootstraping Kernel Spectral Estimates. The Annals of Statistics, 20, 121–145.

    Article  MathSciNet  Google Scholar 

  8. Hernandez-Flores, C.N., Artiles-Romero, J. and Saavedra-Santana, P. (1999). Estimation of the Population Spectrum with Replicated Time Series. Computational Statistics and Data Analysis., 30, 271–280.

    Article  MathSciNet  Google Scholar 

  9. Priestley, M.B. (1981). Spectral Analysis and Time Series. Wiley, New York.

    MATH  Google Scholar 

  10. Saavedra, P., Hernández, C. N. and Artiles, J. (2000). Spectral Analysis with Replicated Time Series. Communications in Statistics Theory and Methods, 29, 2343–2362.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

This paper has been partially funded by I+D research program ref. BFM2000-0517

Rights and permissions

Reprints and permissions

About this article

Cite this article

Luengo, I., Hernández, C.N. & Saavedra, P. Test to compare two population logspectra. Computational Statistics 21, 91–101 (2006). https://doi.org/10.1007/s00180-006-0253-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00180-006-0253-z

Keywords

Navigation