Zobrazeno 1 - 10
of 354
pro vyhledávání: '"C. F. Jeff Wu"'
Autor:
Ahmed, S. E.
Publikováno v:
Technometrics, 2014 Feb 01. 56(1), 129-129.
Externí odkaz:
http://www.jstor.org/stable/24587292
Autor:
Loeppky, Jason
Publikováno v:
Technometrics, 2007 Aug 01. 49(3), 365-366.
Externí odkaz:
https://www.jstor.org/stable/25471370
Autor:
Anderson-Cook, Christine M.
Publikováno v:
Journal of the American Statistical Association, 2007 Jun 01. 102(478), 765-765.
Externí odkaz:
https://www.jstor.org/stable/27639914
Autor:
Ye, Kenny
Publikováno v:
Interfaces, 2003 Sep 01. 33(5), 96-98.
Externí odkaz:
https://www.jstor.org/stable/20141292
Autor:
Lenth, Russell V.
Publikováno v:
Journal of the American Statistical Association, 2002 Jun 01. 97(458), 654-654.
Externí odkaz:
https://www.jstor.org/stable/3085683
Autor:
Altland, Henry W.
Publikováno v:
Technometrics, 2001 Aug 01. 43(3), 369-369.
Externí odkaz:
https://www.jstor.org/stable/1271224
Autor:
Anderson-Cook, Christine M.
Publikováno v:
Journal of the American Statistical Association. 102:765-765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::931cd5896bd09b5474bac4f6c8fe226b
http://www.ingentaconnect.com/content/asa/jasa/2007/00000102/00000478/art00049
http://www.ingentaconnect.com/content/asa/jasa/2007/00000102/00000478/art00049
Publikováno v:
Technometrics. 64:513-523
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d559cea26d9c99d42d2e57cf07471535
https://doi.org/10.1080/00401706.2022.2125443
https://doi.org/10.1080/00401706.2022.2125443
Autor:
Heng Su, C. F. Jeff Wu
Publikováno v:
Statistical Theory and Related Fields, Vol 1, Iss 1, Pp 3-14 (2017)
When optimizing webpages in order to achieve the best conversion rate, the traditional approach is to isolate and analyze them separately through a sequence of experiments. In this paper, we propose a new framework to study a system of webpages simul
Externí odkaz:
https://doaj.org/article/8c8d6c490c184a09a5f64cd006037bf6
Publikováno v:
Web of Science
In this paper, we investigate Gaussian process modeling with input location error, where the inputs are corrupted by noise. Here, the best linear unbiased predictor for two cases is considered, according to whether there is noise at the target unobse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de2dff65aa5ea47391553b8a44a9df1
https://doi.org/10.1137/20m1312447
https://doi.org/10.1137/20m1312447