Empirical Likelihood-Based Inferences for Generalized Partially Linear Models
This paper considers generalized partially linear models. We propose empirical likelihood-based statistics to construct confidence regions for the parametric and non-parametric components. The resulting statistics are shown to be asymptotically chi-square distributed. Finite-sample performance of the proposed statistics is assessed by simulation experiments. The proposed methods are applied to a data set from an AIDS clinical trial. Copyright (c) 2009 Board of the Foundation of the Scandinavian Journal of Statistics.
Year of publication: |
2009
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Authors: | LIANG, HUA ; QIN, YONGSONG ; ZHANG, XINYU ; RUPPERT, DAVID |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 36.2009, 3, p. 433-443
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Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
Saved in:
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