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M estimators of location for Gaussian and related processes with slowly decaying serial correlations

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1991

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Journal of the American Statistical Association. 1991, 86(415), pp. 704-708. Available under: doi: 10.2307/2290401

Zusammenfassung

We investigate the behavior of M estimators of the location parameter for stochastic processes with long-range dependence. The processes considered are Gaussian or one-dimensional transformations of Gaussian processes. It turns out that, up to a constant, all M estimators are asymptotically equivalent to the arithmetic mean. For Gaussian processes this constant is always equal to one, independently of the ψ function. In view of the case of iid observations, the results are surprising. They are related to earlier work by Gastwirth and Rubin. Some simulations illustrate the results.

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Fachgebiet (DDC)
510 Mathematik

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Arithmetic mean, Fractional Gaussian Noise, Long-Range dependence, Self-similar

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ISO 690BERAN, Jan, 1991. M estimators of location for Gaussian and related processes with slowly decaying serial correlations. In: Journal of the American Statistical Association. 1991, 86(415), pp. 704-708. Available under: doi: 10.2307/2290401
BibTex
@article{Beran1991estim-18811,
  year={1991},
  doi={10.2307/2290401},
  title={M estimators of location for Gaussian and related processes with slowly decaying serial correlations},
  number={415},
  volume={86},
  journal={Journal of the American Statistical Association},
  pages={704--708},
  author={Beran, Jan}
}
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