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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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Inflectional morphology in optimality theory [PDF]
, 2007 P158.42 Optimality theory (Linguistics) -- Grammar, Comparative and general ...
Zheng, X., Xu, Zheng
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, 2021 Optimality of syntactic dependency distances Preprocessed data and code for the article Optimality of Syntactic Dependency Distances. This is the first release of the Optimality of Syntactic Dependency Distances repository at Github.com. The sole purpose
Carlos Gómez-Rodríguez +2 more
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M-estimator, and D-optimality model construction using orthogonal forward regression
, 2005 This correspondence introduces a new orthogonal forward regression (OFR) model identification algorithm using D-optimality for model structure selection and is based on an M-estimators of parameter estimates.
Hong, X., Chen, S.
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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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Algorithms for the minimum spanning tree problem with resource allocation
Operations Research Perspectives, 2016 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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D-Optimal Designs with Hadamard Matrix
Journal of Mathematical Analysis and Applications, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, K.L., Lii, K.S.
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D-Optimal Design for Network A/B Testing [PDF]
Journal of Statistical Theory and Practice, 2019 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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On the number of D-optimal designs
Journal of Combinatorial Theory, Series A, 1994 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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Recent advances in maximum-entropy sampling
Kuwait Journal of ScienceIn 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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