Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Thomas J. Santner"'
Publikováno v:
The American Statistician. 77:143-150
Autor:
Swithin S. Razu, Hamidreza Jahandar, Andrew Zhu, Erin E. Berube, Joseph E. Manzi, Andrew D. Pearle, Danyal H. Nawabi, Thomas L. Wickiewicz, Thomas J. Santner, Carl W. Imhauser
Publikováno v:
Journal of Biomechanical Engineering. 145
High-grade knee laxity is associated with early anterior cruciate ligament (ACL) graft failure, poor function, and compromised clinical outcome. Yet, the specific ligaments and ligament properties driving knee laxity remain poorly understood. We desc
Publikováno v:
Technometrics. 64:564-574
Techniques to reduce the energy burden of an industrial ecosystem often require solving a multiobjective optimization problem. However, collecting experimental data can often be either expensive or time-consuming. In such cases, statistical methods c
Publikováno v:
Journal of Data Science. 4:275-289
The traditional method for processing functional magnetic reso- nance imaging (FMRI) data is based on a voxel-wise, general linear model. For experiments conducted using a block design, where periods of activation are interspersed with periods of res
Publikováno v:
J Biomech
This short communication provides details on customized Tekscan Analysis Programs (TAP) which extract comprehensive contact mechanics metrics from piezoelectric sensors in articulating joints across repeated loading cycles. The code provides function
Bayesian Additive Regression Trees (BART) are non-parametric models that can capture complex exogenous variable effects. In any regression problem, it is often of interest to learn which variables are most active. Variable activity in BART is usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::767e2de3434918494ea94a968606c96b
http://arxiv.org/abs/2005.13622
http://arxiv.org/abs/2005.13622
Publikováno v:
Nuclear Engineering and Design
Nuclear Engineering and Design, Elsevier, 2021, 374, pp.111034. ⟨10.1016/j.nucengdes.2020.111034⟩
Nuclear Engineering and Design, 2021, 374, pp.111034. ⟨10.1016/j.nucengdes.2020.111034⟩
Nuclear Engineering and Design, Elsevier, 2021, 374, pp.111034. ⟨10.1016/j.nucengdes.2020.111034⟩
Nuclear Engineering and Design, 2021, 374, pp.111034. ⟨10.1016/j.nucengdes.2020.111034⟩
International audience; This paper presents methodologies for solving a common nuclear engineering problem using a suitable mathematical framework. Besides its potential for more general applications, this abstract formalization of the problem provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::938ea85005e37708a304f0c064668067
Autor:
Rachmat Mulyana, Po-Hsu Chen, Thomas J. Santner, Angela M. Dean, Jose M. Castro, María G. Villarreal-Marroquín
Publikováno v:
Journal of Quality Technology. 50:309-326
This article optimizes an injection molding process using an efficient sequential design methodology. The goal is to set the process control variables to minimize the shrinkages of a selected collection of injection molded parts. This multiobjective
Publikováno v:
Statistics and Computing. 28:739-751
Computer experiments using deterministic simulators are sometimes used to replace or supplement physical system experiments. This paper compares designs for an initial computer simulator experiment based on empirical prediction accuracy; it recommend
Publikováno v:
Computational Statistics & Data Analysis. 154:107083
The modeling and prediction of functions that can exhibit non-stationarity characteristics is important in many applications; for example, this is often the case for simulator output. One approach to predict a function with unknown stationarity prope