JOURNAL ARTICLE

On asymptotic behavior of Nadaraya–Watson regression estimator

Jiexiang Li

Year: 2016 Journal:   Communication in Statistics- Theory and Methods Vol: 45 (19)Pages: 5751-5761   Publisher: Taylor & Francis

Abstract

The random field (Xi, Yi), i∈ZN${{\bf i}}\in \mathbb {Z}^N$ is dependent and assumed to satisfy some mild mixing conditions. In this article, a Nadaraya–Watson regression estimator (N. W. R. E.) is established and investigated. We show that the distribution of the N. W. R. E. is asymptotically normal under some commonly used conditions.

Keywords:
Watson Estimator Mathematics Mixing (physics) Regression Regression analysis Field (mathematics) Statistics Applied mathematics Physics Pure mathematics Computer science Artificial intelligence Quantum mechanics

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Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Bayesian Methods and Mixture Models
Physical Sciences →  Computer Science →  Artificial Intelligence

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