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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55825
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dc.contributor.authorChen, J.-
dc.contributor.authorZhang, L.-
dc.contributor.authorLi, D.-
dc.date.issued2008-
dc.identifier.citationMetrika: international journal for theoretical and applied statistics, 2008; 67(1):11-29-
dc.identifier.issn0026-1335-
dc.identifier.issn1435-926X-
dc.identifier.urihttp://hdl.handle.net/2440/55825-
dc.description© Springer-Verlag 2007-
dc.description.abstractWe investigate the asymptotic behavior of a robust version of local linear regression estimators with variable bandwidth for spatial associated processes. The weak consistency of the proposed estimators is given under appropriate conditions. Furthermore, we establish the asymptotic normality of the estimators, from which expressions for the asymptotic bias and variance can be derived.-
dc.description.statementofresponsibilityChen Jia, Zhang Lixin and Li Degui-
dc.language.isoen-
dc.publisherPhysica-verlag GMBH & Co-
dc.source.urihttp://dx.doi.org/10.1007/s00184-006-0119-y-
dc.subjectLocal M-estimation-
dc.subjectSpatial processes-
dc.subjectAssociation-
dc.subjectConsistency-
dc.subjectAsymptotic normality-
dc.titleSpatial local M-estimation under association-
dc.typeJournal article-
dc.identifier.doi10.1007/s00184-006-0119-y-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 5
Economics publications

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