Results 21 to 30 of about 18,707,175 (333)
Sensor Calibration Design Based on D-Optimality Criterion
, 2016 In this study, a procedure for optimal selection of measurement points using the D-optimality criterion to find the best calibration curves of measurement sensors is proposed.
C. Hajiyev
semanticscholar +1 more source
Gaussian Process Assisted Active Learning of Physical Laws [PDF]
Technometrics 2021. 63(3), 329-342, 2019 In many areas of science and engineering, discovering the governing differential equations from the noisy experimental data is an essential challenge. It is also a critical step in understanding the physical phenomena and prediction of the future behaviors of the systems. However, in many cases, it is expensive or time-consuming to collect experimental
arxiv +1 more source
Branch-and-bound for D-Optimality with fast local search and variable-bound tightening [PDF]
arXiv, 2023 We apply a branch-and-bound (B\&B) algorithm to the D-optimality problem based on a convex mixed-integer nonlinear formulation. We discuss possible methodologies to accelerate the convergence of the B\&B algorithm, by combining the use of different upper bounds, variable-bound tightening inequalities, and local-search procedures.
arxiv
D-Optimal Designs with Hadamard Matrix
Journal of Mathematical Analysis and Applications, 1993 AbstractThe existence theorem of D-optimal designs and an explicit formula to lind D-optimal designs for a linear regression model are given on a sphere. The computation is simple and efficient. A numerical example is used to illustrate the method.
Keh-Shin Lii, King Leung Chow
openaire +2 more sources
Subsurface characterization using a D-optimality based pilot point method
, 2011 Detailed hydraulic conductivity estimation is a difficult problem as the number of direct measurements available at a typical field site is relatively few and sparse.
Yong Jung +2 more
semanticscholar +1 more source
IEEE Transactions on Automatic Control, 2003 The note proposes an efficient nonlinear identification algorithm by combining a locally regularized orthogonal least squares (LROLS) model selection with a D-optimality experimental design.
Sheng Chen, X. Hong, C. Harris
semanticscholar +1 more source
Recent developments in D-optimal designs
Communications in Statistics - Theory and Methods, 2018 In the paper, some issues concerned with the determining spring balance weighing designs satisfying the criterion of D-optimality under the assumption measurement errors are uncorrelated and they have the same variances are discussed. In addition, highly D-efficient spring balance weighing designs are also considered.
Bronisław Ceranka, Małgorzata Graczyk
openaire +2 more sources
On the enumeration of some D-optimal designs [PDF]
Journal of Statistical Planning and Inference, 2008 Two matrices with elements taken from the set {-1,1} are Hadamard equivalent if one can be converted into the other by a sequence of permutations of rows and columns, and negations of rows and columns. In this paper we summarize what is known about the number of equivalence classes of matrices having maximal determinant.
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Multivariate Tie-breaker Designs [PDF]
Electron. J. Statist. 18(2): 4612-4639 (2024), 2022 In a tie-breaker design (TBD), subjects with high values of a running variable are given some (usually desirable) treatment, subjects with low values are not, and subjects in the middle are randomized. TBDs are intermediate between regression discontinuity designs (RDDs) and randomized controlled trials (RCTs).
arxiv
Adaptive grid semidefinite programming for finding optimal designs [PDF]
, 2017 We find optimal designs for linear models using anovel algorithm that iteratively combines a semidefinite programming(SDP) approach with adaptive grid techniques.The proposed algorithm is also adapted to find locally optimaldesigns for nonlinear models ...
Dette, Holger +2 more
core +1 more source