Results 11 to 20 of about 24,603 (322)
D-optimal and nearly D-optimal exact designs for binary response on the ball
Statistical Papers, 2023 AbstractIn this paper the results of Radloff and Schwabe (Stat Papers 60:165–177, 2019) will be extended for a special class of symmetrical intensity functions. This includes binary response models with logit and probit link. To evaluate the position and the weights of the two non-degenerated orbits on thek-dimensional ball usually a system of three ...
Martin Radloff, Rainer Schwabe
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Optimal Geometries for AOA Localization in the Bayesian Sense
Sensors, 2022 This paper considers the optimal sensor placement problem for angle-of-arrival (AOA) target localization in the 2D plane with a Gaussian prior. Optimal sensor locations are analytically determined for a single AOA sensor using the D- and A-optimality ...
Kutluyil Dogancay
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New Results on D‐Optimal Matrices [PDF]
Journal of Combinatorial Designs, 2012 AbstractWe construct a number of new supplementary difference sets (SDS) with v odd and . In particular, these give rise to D‐optimal matrices of the four new orders 206, 242, 262, 482, constructed here for the first time.
Đoković, Dragomir Ž. +1 more
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Using Machine Learning for Quantum Annealing Accuracy Prediction
Algorithms, 2021 Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to compute solutions of NP-hard problems that can be expressed in Ising or quadratic unconstrained binary optimization (QUBO) form.
Aaron Barbosa +3 more
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Being Uncertain in Chromatographic Calibration—Some Unobvious Details in Experimental Design
Molecules, 2021 This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as ...
Łukasz Komsta +2 more
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Optimal Geometry Analysis for Target Localization With Bayesian Priors
IEEE Access, 2021 Relative sensor-target geometry is well known to significantly affect the performance of target localization using a sensor network. This article analyzes the optimal sensor-target geometries for the problem of target localization with Bayesian priors ...
Ngoc Hung Nguyen
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Experimental Designs for Binary Data in Switching Measurements on Superconducting Josephson Junctions [PDF]
, 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
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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
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Optimal Designs for Generalized Pareto Model [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 The generalized Pareto model plays an important role in modelling extreme events. Hosking and Wallis (1987) discussed the parameter and quantile estimation for generalized Pareto distribution.
Poonam Singh, Ashok Kumar
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Journal of Geospatial Information Science and Engineering, 2021 Kegiatan rehabilitasi dan pemeliharaan di Jembatan Talang Bowong membutuhkan pemantauan gerakan massa tanah secara real-time dan kontinu. Penelitian ini berusaha mendesain jaring kontrol pemantauan gerakan massa tanah secara geometrik dengan data ...
Ghea Ayunda Siami +2 more
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