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On a class of minimum contrast estimators for Gegenbauer random fields

Statistics Theory 2015-01-21 v1 Probability Statistics Theory

Abstract

The article introduces spatial long-range dependent models based on the fractional difference operators associated with the Gegenbauer polynomials. The results on consistency and asymptotic normality of a class of minimum contrast estimators of long-range dependence parameters of the models are obtained. A methodology to verify assumptions for consistency and asymptotic normality of minimum contrast estimators is developed. Numerical results are presented to confirm the theoretical findings.

Keywords

Cite

@article{arxiv.1501.04712,
  title  = {On a class of minimum contrast estimators for Gegenbauer random fields},
  author = {R. M. Espejo and N. N. Leonenko and A. Olenko and M. D. Ruiz-Medina},
  journal= {arXiv preprint arXiv:1501.04712},
  year   = {2015}
}

Comments

23 pages, 8 figures

R2 v1 2026-06-22T08:06:35.663Z