Zobrazeno 1 - 10
of 108
pro vyhledávání: '"He, Daojiang"'
In this paper, for the problem of heteroskedastic general linear hypothesis testing (GLHT) in high-dimensional settings, we propose a random integration method based on the reference L2-norm to deal with such problems. The asymptotic properties of th
Externí odkaz:
http://arxiv.org/abs/2409.12066
Publikováno v:
In Journal of Statistical Planning and Inference May 2023 224:27-41
Autor:
He, Lei1 (AUTHOR), He, Daojiang1 (AUTHOR) djheahnu@163.com
Publikováno v:
Statistical Papers. Dec2023, Vol. 64 Issue 6, p1997-2013. 17p.
In this paper, the $k$ sample Behrens-Fisher problem is investigated in high dimensional setting. We propose a new test statistic and demonstrate that the proposed test is expected to have more powers than some existing test especially when sample si
Externí odkaz:
http://arxiv.org/abs/1710.07878
Autor:
Xu, Kai, He, Daojiang
Publikováno v:
Statistica Sinica, 2021 Jan 01. 31(2), 1055-1079.
Externí odkaz:
https://www.jstor.org/stable/27008074
Publikováno v:
In Journal of Multivariate Analysis July 2021 184
Publikováno v:
In Journal of Multivariate Analysis May 2021 183
Publikováno v:
Statistical Papers; Aug2024, Vol. 65 Issue 6, p3477-3497, 21p
Autor:
He, Daojiang, Tao, Mingzhu
Publikováno v:
In Applied Mathematical Modelling January 2020 77 Part 1:378-391
Publikováno v:
Journal of Statistical Computation & Simulation; Apr2024, Vol. 94 Issue 6, p1317-1338, 22p