Results 21 to 30 of about 24,603 (322)
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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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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Optimal designs for the methane flux in troposphere [PDF]
, 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
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Shrinkage simplex-centroid designs for a quadratic mixture model
Journal of Industrial Engineering International, 2017 A simplex-centroid design for q mixture components comprises of all possible subsets of the q components, present in equal proportions. The design does not contain full mixture blends except the overall centroid.
Taha Hasan, Sajid Ali, Munir Ahmed
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Optimal Designs for Direct Effects: The Case of Two Treatments and Five Periods
Mathematics, 2023 Cross-Over Designs or Repeated Measurements Designs are experimental designs in which treatments (e.g., medicines, fertilizers, diets) are applied to experimental units (usually humans) in different time periods.
Miltiadis S. Chalikias
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A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments [PDF]
, 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
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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
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Agronomy, 2018 The aim of this study was to generate and evaluate the efficiency of improved field experiments while simultaneously accounting for spatial correlations and different levels of genetic relatedness using a mixed models framework for orthogonal and non ...
Lazarus K. Mramba +3 more
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D-optimal designs for multinomial logistic models [PDF]
The Annals of Statistics, 2020 We consider optimal designs for general multinomial logistic models, which cover baseline-category, cumulative, adjacent-categories, and continuation-ratio logit models, with proportional odds, non-proportional odds, or partial proportional odds assumption.
Bu, Xianwei, Majumdar, Dibyen, Yang, Jie
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