Daojiang He - researchr alias

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Viewing Publication 1 - 9 from 9

2021

Generalized Schott type tests for complete independence in high dimensionsDaojiang He, Huanyu Liu, Kai Xu, Ming-Xiang Cao. ma, 183:104731, 2021. [doi]

A high dimensional nonparametric test for proportional covariance matricesKai Xu, Yan Tian, Daojiang He. ma, 184:104762, 2021. [doi]

2017

Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss functionMing-Xiang Cao, Daojiang He. ma, 153:246-254, 2017. [doi]

2016

Objective Bayesian analysis of degradation model with respect to a Wiener processLei He, Daojiang He, Ming-Xiang Cao. jossac, 29(6):1737-1751, 2016. [doi]

K Type Principal Components Estimators in the Linear ModelDaojiang He, Yan Wu, Kai Xu. cssc, 45(8):2709-2719, 2016. [doi]

2015

Random Weighting Empirical Distribution Function and its Applications to Goodness-of-Fit TestingDaojiang He, Kai Xu, Xingzhong Xu. cssc, 44(6):1441-1452, 2015. [doi]

2014

Admissible linear estimators of multivariate regression coefficient with respect to an inequality constraint under matrix balanced loss functionDaojiang He, Jie Wu. ma, 129:37-43, 2014. [doi]

2013

2 Wasserstein distanceDaojiang He, Xingzhong Xu, Jianxin Zhao. jossac, 26(4):572-582, 2013. [doi]

Testing Homogeneity of Inverse Gaussian Scale Parameters Based on Generalized Likelihood RatioXuhua Liu, Daojiang He. cssc, 42(2):382-392, 2013. [doi]

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