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ASYMPTOTIC PROPERTIES FOR L 1 NORM KERNEL ESTIMATOR OF CONDITIONAL MEDIAN UNDER DEPENDENCE
Authors:
Yong Zhou a;
Hua Liang b
| Affiliations: | a Institute of Applied Mathematics, Beijing 100080, China. |
| b Department of Statistics, Texas A & M University, College Station, TX 77843, USA. |
DOI:
10.1080/1048525031000089293
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Number of References: 17
Formats available:
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(English)
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Abstract
This paper is concerned with asymptotic properties for L 1 -norm kernel estimator of conditional median for nonparametric regression models under the dependent case. The authors give the optimal convergence rates of the estimator for the case of
 -mixing and β-mixing samples on weak conditions.
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Keywords:
-mixing;
β-mixing;
Conditional Median;
L 1-norm;
Kernel Estimator
|
| view references (17) |
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