Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10524698 | Journal of Multivariate Analysis | 2005 | 19 Pages |
Abstract
Consider the nonparametric regression model Yni=g(xni)+εni for i=1,â¦,n, where g is unknown, xni are fixed design points, and εni are negatively associated random errors. Nonparametric estimator gn(x) of g(x) will be introduced and its asymptotic properties are studied. In particular, the pointwise and uniform convergence of gn(x) and its asymptotic normality will be investigated. This extends the earlier work on independent random errors (e.g. see J. Multivariate Anal. 25(1) (1988) 100).
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Han-Ying Liang, Bing-Yi Jing,