Zobrazeno 1 - 10 of 67 pro vyhledávání: '"Rong-Xian Yue"'
1
Akademický článek
Locally R-optimal designs for a class of nonlinear multiple regression models
Autor: Lei He, Rong-Xian Yue
Publikováno v: Statistical Theory and Related Fields, Vol 7, Iss 2, Pp 107-120 (2023)
This paper concerns with optimal designs for a wide class of nonlinear models with information driven by the linear predictor. The aim of this study is to generate an R-optimal design which minimizes the product of the main diagonal entries of the in
Externí odkaz: https://doaj.org/article/baa939be66134ad6a03c6ef414bef39d
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2
Akademický článek
Step-stress accelerated degradation test planning based on Wiener process with correlation
Autor: Lei He, Rong-Xian Yue, Daojiang He
Publikováno v: Statistical Theory and Related Fields, Vol 2, Iss 1, Pp 58-67 (2018)
To assess the lifetime distribution of highly reliable or expensive product, one of the most commonly used strategies is to construct step-stress accelerated degradation test (SSADT) which can curtail the test duration and reduce the test cost. In re
Externí odkaz: https://doaj.org/article/bab44cccd92b46a689a6416d3aa97b38
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5
D-optimal augmented designs and the existence of tight orthogonal arrays with high strength
Autor: Rong-Xian Yue, Jing Wang
Publikováno v: Journal of Statistical Planning and Inference. 218:1-8
In this paper, in view of the Rao’s inequalities on the parameters of an orthogonal array, we define some extended matrices for asymmetric orthogonal arrays of strength t ( t ≥ 2 ) . According to these matrices, necessary conditions for the exist
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::424a82fff9a431315ccd4f0a871a1757
https://doi.org/10.1016/j.jspi.2021.08.005
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8
D-Optimal Designs for Hierarchical Linear Models with Heteroscedastic Errors
Autor: Xin Liu, Kashinath Chatterjee, Rong-Xian Yue
Publikováno v: Communications in Mathematics and Statistics. 10:669-679
This paper investigates the optimal design problem for the prediction of the individual parameters in hierarchical linear models with heteroscedastic errors. An equivalence theorem is established to characterize D-optimality of designs for the predic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5e3fdbd6b3cf7848b02eb5a7d3f484c
https://doi.org/10.1007/s40304-021-00244-9
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9
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm
Autor: Zizhao Zhang, Rong-Xian Yue, Weng Kee Wong, Xin Liu
Publikováno v: Soft Computing
Hierarchical linear models are widely used in many research disciplines and estimation issues for such models are generally well addressed. Design issues are relatively much less discussed for hierarchical linear models but there is an increasing int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e24dcf52c6c0737c6f200c113e787f
http://europepmc.org/articles/PMC8550460
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