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Balanced augmented empirical likelihood for regression models
Journal article
Xia,Xiaochao, Liu,Zhi. Balanced augmented empirical likelihood for regression models[J]. Journal of the Korean Statistical Society, 2019, 48(2), 233-247.
Authors:
Xia,Xiaochao
;
Liu,Zhi
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
0.6
/
0.7
|
Submit date:2021/03/11
Asymptotic Properties
Balanced Augmented Sample
Convex Hull Constraint
Empirical Likelihood
Regression Models
Electrical exposure analysis of galvanic-coupled intra-body communication based on the empirical arm models
Journal article
Gao, Yue-Ming, Zhang, Heng-fei, Lin, Shi, Jiang, Rui-Xin, Chen, Zhi-Ying, Vasic, Zeljka Lucev, Vai, Mang-I, Du, Min, Cifrek, Mario, Pun, Sio-Hang. Electrical exposure analysis of galvanic-coupled intra-body communication based on the empirical arm models[J]. BIOMEDICAL ENGINEERING ONLINE, 2018, 17.
Authors:
Gao, Yue-Ming
;
Zhang, Heng-fei
;
Lin, Shi
;
Jiang, Rui-Xin
;
Chen, Zhi-Ying
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
8
IF:
2.9
/
3.5
|
Submit date:2018/10/30
Galvanic-coupled Intra-body Communication
Empirical Arm Models
Icnirp Guidelines
Electric Field Intensity
Sar
Exposure Restrictions
Empirical Models Based on Features Ranking Techniques for Corporate Financial Distress Prediction
Journal article
Zhou, Ligang, Lai, Kin Keung, Yen, Jerome. Empirical Models Based on Features Ranking Techniques for Corporate Financial Distress Prediction[J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2012, 64(8), 2484-2496.
Authors:
Zhou, Ligang
;
Lai, Kin Keung
;
Yen, Jerome
Favorite
|
TC[WOS]:
27
TC[Scopus]:
33
IF:
2.9
/
2.6
|
Submit date:2019/12/05
Financial Distress Prediction
Empirical Models
Features Ranking