Results 1 to 10 of about 18,707,175 (333)
D-optimal plans in observational studies [PDF]
Research Papers in Economics, 2005 This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features for classification.
Morik, Katharina +3 more
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Elfving's Theorem for $D$-Optimality [PDF]
The Annals of Statistics, 1993 We consider a model robust version of the $c$-optimality criterion minimizing a weighted product with factors corresponding to the variances of the least squares estimates for linear combinations of the parameters in different models. A generalization of Elfving's theorem is proved for the optimal designs with respect to this criterion by an ...
H. Dette
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Optimization of SLS Process Parameters Using D-Optimality [PDF]
, 2003 Solid Freeform Fabrication (SFF) refers to a group of processes that manufacture parts of arbitrarily complex geometry without tooling. Currently, the operation of most SFF machines requires skilled operators with expertise in choosing process ...
Crawford, Richard H. +2 more
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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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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.
Dragomir Ž. Đoković +1 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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Bayesian D-Optimal Choice Designs for Mixtures [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2014 SummaryConsumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of travel time (e.g. in-vehicle and out-of-vehicle travel time) in a transportation setting.
Aiste Ruseckaite +6 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 ...
Prandoni, Paolo, Vetterli, Martin
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Linear Algebra and its Applications, 1998 AbstractThe purpose of this paper is to exhibit new infinite families of D-optimal (0, 1)-matrices. We show that Hadamard designs lead to D-optimal matrices of size (j, mj) and (j − 1, mj), for certain integers j ≡ 3 (mod 4) and all positive integers m. For j a power of a prime and j ≡ 1 (mod 4), supplementary difference sets lead to D-optimal matrices
Joel Zeitlin +2 more
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Fully complex-valued radial basis function networks for orthogonal least squares regression [PDF]
, 2008 We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D-optimality experimental design, originally derived for constructing ...
Chen, Sheng, Harris, Chris J., Hong, Xia
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