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isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
subject:"Wahrscheinlichkeitsrechnung"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Litvinova, Svetlana"
~source:"econis"
~subject:"Ausreißer"
~subject:"Korrelation"
~subject:"Nichtparametrisches Verfahren"
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Wahrscheinlichkeitsrechnung
Ausreißer
Korrelation
Nichtparametrisches Verfahren
Bootstrap approach
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Bootstrap-Verfahren
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Estimation theory
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Full-sample bootstrap
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Hill estimator
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Intermediate order statistic
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Litvinova, Svetlana
Gao, Jiti
34
Li, Qi
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Cheng, Tingting
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Zhang, Xibin
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Su, Liangjun
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Linton, Oliver
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Silvapulle, Mervyn J.
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Racine, Jeffrey
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Yan, Yayi
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Lieli, Robert P.
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Poskitt, Donald Stephen
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Tjostheim, Dag
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King, Maxwell L.
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
Working paper / Department of Econometrics and Business Statistics, Monash University
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ECONIS (ZBW)
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Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index
Litvinova, Svetlana
;
Silvapulle, Mervyn J.
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2020
Persistent link: https://www.econbiz.de/10012607652
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Bootstrapping tail statistics: tail quantile process, Hill estimator, and confidence intervals for highquantiles of heavy tailed distributions
Litvinova, Svetlana
;
Silvapulle, Mervyn J.
-
2018
Persistent link: https://www.econbiz.de/10012583470
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