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Titel Brief communication "Improving the actual coverage of subsampling confidence intervals in atmospheric time series analysis"
VerfasserIn A. Gluhovsky, T. Nielsen
Medientyp Artikel
Sprache Englisch
ISSN 1023-5809
Digitales Dokument URL
Erschienen In: Nonlinear Processes in Geophysics ; 19, no. 5 ; Nr. 19, no. 5 (2012-09-05), S.473-477
Datensatznummer 250014240
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/npg-19-473-2012.pdf
 
Zusammenfassung
In atmospheric time series analysis, where only one record is typically available, subsampling (which works under the weakest assumptions among resampling methods), is especially useful. In particular, it yields large-sample confidence intervals of asymptotically correct coverage probability. Atmospheric records, however, are often not long enough, causing a substandard coverage of subsampling confidence intervals. In the paper, the subsampling methodology is extended to become more applicable in such practically important cases.
 
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