Zobrazeno 1 - 10
of 27
pro vyhledávání: '"C. Devon Lin"'
Publikováno v:
Electronic Journal of Statistics. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df1c458794a5ea0fbfe06c48614ce0bd
https://doi.org/10.1214/23-ejs2108
https://doi.org/10.1214/23-ejs2108
Publikováno v:
Bernoulli 25, no. 3 (2019), 2163-2182
Recent researches on designs for computer experiments with both qualitative and quantitative factors have advocated the use of marginally coupled designs. This paper proposes a general method of constructing such designs for which the designs for qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f93b321f84fbf8dadded0de093bd33a9
Publikováno v:
Journal of Computational and Graphical Statistics. 27:798-807
The recent accelerated growth in the computing power has generated popularization of experimentation with dynamic computer models in various physical and engineering applications. Despite the extensive statistical research in computer experiments, mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc31cac4dcefb8da0f01d43219a9a302
https://doi.org/10.1080/10618600.2018.1473778
https://doi.org/10.1080/10618600.2018.1473778
Publikováno v:
Computational Statistics & Data Analysis. 118:84-97
This paper considers the construction of D-optimal two-level orthogonal arrays that allow for the joint estimation of all main effects and a specified set of two-factor interactions. A sharper upper bound on the determinant of the related matrix is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7665b638e42161ce42be82d64db693
https://doi.org/10.1016/j.csda.2017.08.012
https://doi.org/10.1016/j.csda.2017.08.012
Publikováno v:
Journal of Statistical Planning and Inference. 187:103-108
Computer experiments with qualitative and quantitative factors occur frequently in various applications in science, engineering and business. For choosing input settings of such computer experiments, marginally coupled designs have been proposed in D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19b71710cb0699be71b7a81d525807d7
https://doi.org/10.1016/j.jspi.2017.02.010
https://doi.org/10.1016/j.jspi.2017.02.010
Publikováno v:
Technometrics. 59:283-292
Computer experiments with qualitative and quantitative factors occur frequently in various applications in science and engineering. Analysis of such experiments is not yet completely resolved. In this work, we propose an additive Gaussian process mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd8c33951b343e2a344662d2eff33b6f
https://doi.org/10.1080/00401706.2016.1211554
https://doi.org/10.1080/00401706.2016.1211554
Computer simulators are nowadays widely used to understand complex physical systems in many areas such as aerospace, renewable energy, climate modeling, and manufacturing. One fundamental issue in the study of computer simulators is known as experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc9e43e660ef15a70d5138b5d67f62f
Autor:
Susanne Morrill, C. Devon Lin
Publikováno v:
Journal of Statistical Planning and Inference. 155:127-134
Designs of variable resolution were introduced for practical situations where interactions arise only within certain factors. Optimal designs of variable resolution based on the minimum G 2 -aberration criterion and design efficiency are provided. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fec99ce180360efe9737f52d5de3d12
https://doi.org/10.1016/j.jspi.2014.06.001
https://doi.org/10.1016/j.jspi.2014.06.001
Computer experiments refer to the study of complex systems using mathematical models and computer simulations. The use of computer experiments becomes popular for studying complex systems in science and engineering. The design and analysis of compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f18bf09076e637c965fd1f3c559844
https://doi.org/10.4018/978-1-5225-2498-4.ch013
https://doi.org/10.4018/978-1-5225-2498-4.ch013
Autor:
Randy R. Sitter, C. Devon Lin, Leslie M. Moore, Christine M. Anderson-Cook, Michael S. Hamada
Publikováno v:
Quality and Reliability Engineering International. 31:155-167
Genetic algorithms (GAs) have been used in many disciplines to optimize solutions for a broad range of problems. In the last 20 years, the statistical literature has seen an increase in the use and study of this optimization algorithm for generating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be095c1de96e77113c8be9b66a8ecd5d
https://doi.org/10.1002/qre.1591
https://doi.org/10.1002/qre.1591