Efficient estimation for semivarying-coefficient models
Xia, Y. C., Zhang, W. Y. and Tong, H., 2004. Efficient estimation for semivarying-coefficient models. Biometrika, 91 (3), pp. 661-681.
Related documents:This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.
Motivated by two practical problems, we propose a new procedure for estimating a semivarying-coefficient model. Asymptotic properties are established which show that the bias of the parameter estimator is of order h(3) when a symmetric kernel is used, where h is the bandwidth, and the variance is of order n(-1) and efficient in the semiparametric sense. Undersmoothing is unnecessary for the root-n consistency of the estimators. Therefore, commonly used bandwidth selection methods can be employed. A model selection method is also developed. Simulations demonstrate how the proposed method works. Some insights are obtained into the two motivating problems by using the proposed models.
|Creators||Xia, Y. C., Zhang, W. Y. and Tong, H.|
|Departments||Faculty of Science > Mathematical Sciences|
|Additional Information||ID number: ISI:000224077700011|
Actions (login required)