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Extreme value estimation for heterogeneous data
Einmahl, John H. J.; He, Yi - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 1, pp. 255-269
Persistent link: https://www.econbiz.de/10013540838
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Extreme value inference for general heterogeneous data
He, Yi; Einmahl, John H. J. - 2024
Persistent link: https://www.econbiz.de/10014528470
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Extreme value inference for general heterogeneous data
Einmahl, John H. J.; He, Yi - 2022
Persistent link: https://www.econbiz.de/10013343247
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Estimation of extreme depth-based quantile regions
He, Yi; Einmahl, John H. J. - 2014
Persistent link: https://www.econbiz.de/10011282830
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Estimating the spectral measure of an extreme value distribution
Einmahl, John H. J.; Haan, Laurens de; Sinha, Ashok Kumar - 1995
Persistent link: https://www.econbiz.de/10000959331
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Statistics of extremes under random censoring
Einmahl, John H. J. (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003343884
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Estimating extreme bivariate quantile regions
Einmahl, John H. J.; Haan, Laurens de - 2009
Persistent link: https://www.econbiz.de/10003863842
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The Half-Half plot
Einmahl, John H. J.; Gantner, Maria - 2009
Persistent link: https://www.econbiz.de/10003884420
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Thresholding events of extreme in simultaneous monitoring of multiple risks
Einmahl, John H. J.; Li, Jun; Liu, Regina Y. - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 982-992
Persistent link: https://www.econbiz.de/10003902766
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Goodness-of-fit tests in nonparametric regression
Einmahl, John H. J. (contributor);  … - 2006
Persistent link: https://www.econbiz.de/10003377044