Experimental Designs for Binary Data in Switching Measurements on Superconducting Josephson Junctions [PDF]
Journal of the Royal Statistical Society: Series C (Applied
Statistics) 2007, Vol. 56, 167-181, 2006 We study the optimal design of switching measurements of small Josephson junction circuits which operate in the macroscopic quantum tunnelling regime. Starting from the D-optimality criterion we derive the optimal design for the estimation of the unknown
Abdelbasit K. M. +16 more
core +3 more sources
A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments [PDF]
arXiv, 2018 We propose a class of subspace ascent methods for computing optimal approximate designs that covers both existing as well as new and more efficient algorithms.
Filová, Lenka +2 more
core +4 more sources
Optimal designs for the methane flux in troposphere [PDF]
Chemometrics and Intelligent Laboratory Systems 146 (2015),
407-417, 2015 The understanding of methane emission and methane absorption plays a central role both in the atmosphere and on the surface of the Earth. Several important ecological processes, e.g., ebullition of methane and its natural microergodicity request better ...
Baran, Sándor +2 more
core +3 more sources
Branch-and-bound for integer D-Optimality with fast local search and variable-bound tightening [PDF]
arXiv, 2023 We develop a branch-and-bound algorithm for the integer D-optimality problem, a central problem in statistical design theory, based on two convex relaxations, employing variable-bound tightening and fast local-search procedures, testing our ideas on ...
Fampa, Marcia, Lee, Jon, Ponte, Gabriel
core +1 more source
Two More Criteria Equivalent to D-Optimality of Designs [PDF]
, 1962 J. Kiefer
openalex +2 more sources
Some Properties of Multiresponse D-Optimal Designs
Journal of Mathematical Analysis and Applications, 1994 AbstractThe properties of D-optimal designs for multiresponse models are explored using the Equivalence Theorem by Fedorov ["Theory of Optimal Experiments," Academic Press, New York, 1972]. For some classes of multiresponse linear models, the results can be applied to simplify complicated multiresponse experimental design problems or to reduce ...
Shing I. Chang
openaire +3 more sources
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements [PDF]
arXivModel-based design of experiments (MBDoE) is a powerful framework for selecting and calibrating science-based mathematical models from data. This work extends popular MBDoE workflows by proposing a convex mixed integer (non)linear programming (MINLP ...
Bhattacharyya, Debangsu +5 more
core +1 more source
Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization [PDF]
IEEE Access, 9 (2021) 46731 - 46743, 2020 The selection problem of an optimal set of sensors estimating the snapshot of high-dimensional data is considered. The objective functions based on various criteria of optimal design are adopted to the greedy method: D-optimality, A-optimality, and E-optimality, which maximizes the determinant, minimize the trace of inverse, and maximize the minimum ...
arxiv +1 more source
Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty
IEEE Access, 2019 Accelerated degradation test (ADT) has become the main method to assess system reliability. In ADT, Bayesian D-optimality criterion is an effective objective function to deal with the model parameter uncertainty in designing an ADT plan.
Yong Yu +3 more
semanticscholar +1 more source
Inclusion of the D-optimality in multisine manoeuvre design for aircraft parameter estimation
, 2016 This paper is concerned with the designing of simultaneous flight control deflections for aircraft system identification. The elevator, ailerons and rudder are excited with harmonically related multisine signals. The optimal deflections are designed when
P. Lichota
semanticscholar +1 more source