arXiv Open Access 2012

Asymptotic normality of recursive estimators under strong mixing conditions

Aboubacar Amiri

Lihat Sumber

Abstrak

The main purpose of this paper is to estimate the regression function by using a recursive nonparametric kernel approach. We derive the asymptotic normality for a general class of recursive kernel estimate of the regression function, under strong mixing conditions. Our purpose is to extend the work of Roussas and Tran [17] concerning the Devroye-Wagner estimate.

Topik & Kata Kunci

math.ST

Penulis (1)

Aboubacar Amiri

Format Sitasi

APA MLA BibTeX

Amiri, A. (2012). Asymptotic normality of recursive estimators under strong mixing conditions. https://arxiv.org/abs/1211.5767

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2012
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓