Results 11 to 20 of about 21,182,977 (288)
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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Sensor Calibration Design Based on D-Optimality Criterion
Metrology and Measurement Systems, 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.
Hajiyev Chingiz
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Elfving's Theorem for $D$-Optimality
The Annals of Statistics, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Dette
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Branch-and-bound for integer D-optimality with fast local search and variable-bound tightening [PDF]
Mathematical programming, 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 ...
Gabriel Ponte, M. Fampa, Jon Lee
semanticscholar +1 more source
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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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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R/D optimal linear prediction [PDF]
IEEE Transactions on Speech and Audio Processing, 2000 A common technique to extend linear prediction to nonstationary signals is time segmentation: the signal is split into small portions and the modelization is carried out locally. The accuracy of the analysis is, however, dependent on the window size and on the signal characteristics, so that the problem of finding a good segmentation is crucial to the ...
P. Prandoni, M. Vetterli
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A Review on Optimal Subsampling Method [PDF]
BIO Web of ConferencesOptimal subsampling method is an efficient method for massive data because it can not only downsize the data amount but also save computational time. Subsampling methods have been essential to statistical analysis throughout history.
Xu Yuan
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