Skip to main content
Log in

Almost sure convergence of the Bartlett estimator

  • Published:
Periodica Mathematica Hungarica Aims and scope Submit manuscript

Summary

We study the almost sure convergence of the Bartlett estimator for the asymptotic variance of the sample mean of a stationary weekly dependent process. We also study the a.\ s.\ behavior of this estimator in the case of long-range dependent observations. In the weakly dependent case, we establish conditions under which the estimator is strongly consistent. We also show that, after appropriate normalization, the estimator converges a.s. in the long-range dependent case as well. In both cases, our conditions involve fourth order cumulants and assumptions on the rate of growth of the truncation parameter appearing in the definition of the Bartlett estimator.

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

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Berkes, I., Horváth, L., Kokoszka, P. et al. Almost sure convergence of the Bartlett estimator. Period Math Hung 51, 11–25 (2005). https://doi.org/10.1007/s10998-005-0017-5

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10998-005-0017-5

Navigation