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THE CONSISTENCY FOR THE WEIGHTED ESTIMATOR OF NON-PARAMETRIC REGRESSION MODEL BASED ON WIDELY ORTHANT-DEPENDENT ERRORS
Published online by Cambridge University Press: 03 July 2017
Abstract
In this paper, the complete consistency for the weighted estimator of non-parametric regression model based on widely orthant-dependent errors is established, where the restriction imposed on the dominating coefficient g(n) is very general. Moreover, under some stronger moment condition, we further obtain the convergence rate of the complete consistency, where the assumption on the dominating coefficient g(n) is also very general.
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- Type
- Research Article
- Information
- Probability in the Engineering and Informational Sciences , Volume 32 , Issue 3 , July 2018 , pp. 469 - 481
- Copyright
- Copyright © Cambridge University Press 2017
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