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isPartOf:"The econometrics journal"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
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Bootstrap approach
52
Bootstrap-Verfahren
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Estimation theory
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Poskitt, Donald Stephen
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King, Maxwell L.
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Silvapulle, Mervyn J.
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Familial inference : tests for hypotheses on a family of centres
Thompson, Ryan
;
Forbes, Catherine Scipione
;
MacEachern, …
-
2023
Persistent link: https://www.econbiz.de/10014452555
Saved in:
2
Higher-order expansions and inference for panel data models
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452601
Saved in:
3
Estimation and inference for three-dimensional panel data models
Feng, Guohua
;
Gao, Jiti
;
Liu, Fei
;
Peng, Bin
-
2023
Persistent link: https://www.econbiz.de/10014452624
Saved in:
4
A simple bootstrap method for panel data inferences
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2022
Persistent link: https://www.econbiz.de/10013494332
Saved in:
5
A nonparametric panel model for climate data with seasonal and spatial variation
Gao, Jiti
;
Linton, Oliver
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013494366
Saved in:
6
Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index
Litvinova, Svetlana
;
Silvapulle, Mervyn J.
-
2020
Persistent link: https://www.econbiz.de/10012607652
Saved in:
7
Bagging weak predictors
Hillebrand, Eric
;
Lukas, Manuel
;
Wei, Wei
-
2020
Persistent link: https://www.econbiz.de/10012607673
Saved in:
8
Forecasting a nonstationary time series with a mixture of stationary and nonstationary factors as predictors
Hannadige, Sium Bodha
;
Gao, Jiti
;
Silvapulle, Mervyn J.
; …
-
2020
Persistent link: https://www.econbiz.de/10012607687
Saved in:
9
Hypothesis testing based on a vector of statistics
King, Maxwell L.
;
Zhang, Xibin
;
Akram, Muhammad
-
2019
Persistent link: https://www.econbiz.de/10012606733
Saved in:
10
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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