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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/2453
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| Title: | Averaged Singular Integral Estimation as a Bias Reduction Technique |
| Author(s): | Delgado, Miguel A. [delgado]
Vidal-Sanz, Jose M. [jvidal] |
| Publisher: | Elsevier |
| Issued date: | 2002 |
| Citation: | Journal of Multivariate Analysis. 2002, vol. 80, nº 1, p. 127-137 |
| URI: | http://hdl.handle.net/10016/2453 |
| ISSN: | 0047-259X |
| DOI: | 10.1006/jmva.2000.1978 |
| Abstract: | This paper proposes an averaged version of singular integral estimators, whose bias achieves higher rates of convergence under smoothing assumptions. We derive exact bias bounds, without imposing smoothing assumptions, which are a basis for deriving the rates of convergence under differentiability assumptions. |
| Review: | PeerReviewed |
| Publisher version: | http://dx.doi.org/10.1006/jmva.2000.1978 |
| Keywords: | global rates of convergence for the bias
singular integral estimators
generalized jackknife
bias reduction techniques |
| Rights: | © Elsevier |
| Appears in Collections: | Economists Online
DE - Artículos de Revistas
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