Results 21 to 30 of about 10,339,939 (316)
Sensor Calibration Design Based on D-Optimality Criterion
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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Shrinkage simplex-centroid designs for a quadratic mixture model
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
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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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 Design for Network A/B Testing [PDF]
A/B testing refers to the statistical procedure of conducting an experiment to compare two treatments, A and B, applied to different testing subjects. It is widely used by technology companies such as Facebook, LinkedIn, and Netflix, to compare different algorithms, web-designs, and other online products and services.
Victoria Pokhilko +3 more
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Algorithms for the minimum spanning tree problem with resource allocation
We formulate the minimum spanning tree problem with resource allocation (MSTRA) in two ways, as discrete and continuous optimization problems (d-MSTRA/c-MSTRA), prove these to be NP-hard, and present algorithms to solve these problems to optimality.
Seiji Kataoka, Takeo Yamada
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On the number of D-optimal designs
The main result of the paper is the theorem: For \(n=18\), there are precisely three essentially different matrices with elements \(\pm 1\) having the maximum determinant. Only one of these is of the circulant type, but all are of the skew type. This means that there are three \(D\)-optimal designs for \(n=18\).
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D-Optimal Designs with Hadamard Matrix
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, K.L., Lii, K.S.
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A construction algorithm for multioutput radial basis function (RBF) network modelling is introduced by combining a locally regularised orthogonal least squares (LROLS) model selection with a D-optimality experimental design.
Harris, C. J. +3 more
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Recent advances in maximum-entropy sampling
In 2022, we published the book Maximum-Entropy Sampling: Algorithms and Application (Springer). Since then, there have been several notable advancements on this topic. In this manuscript, we survey some recent highlights.
Marcia Fampa, Jon Lee
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