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Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(Springer Verlag, 2019)
© 2019, International Association for Mathematical Geosciences.The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty ...
Magnetostatic Modes in Samples With Inhomogeneous Internal Fields
(IEEE, 2015)
Magnetostatic modes in ferromagnetic samples have been studied systematically since the 1950s. They are very well characterized and understood in samples with uniform internal magnetic fields. More recently, interest has ...
Evaluation of urine and vaginal self-sampling versus clinician-based sampling for cervical cancer screening: a field comparison of the acceptability of three sampling tests in a rural community of Cuenca, Ecuador
(2022)
Self-sampling methods for HPV testing have been demonstrated to be highly sensitive and specific. The implementation of these methods in settings with a lack of infrastructure or medical attention has been shown to increase ...
Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(2019)
The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty of non-sensed positions given the information of the sensed ...
Sampling – Reconstruction Procedure of Gaussian FieldsProcedimiento para el Muestreo y Reconstrucción de Campos Gausianos
(Computación y Sistemas, 2009)
Sampling plans for aphids and their parasitoids in blueberry fields in Argentina
(Taylor & Francis Ltd, 2012-10)
Densities of aphids (Aphis gossypii and A. spiraecola) and mummified aphids at different phenological stages of a blueberry crop were estimated for the purpose of developing sampling plans. Our data set comprised 99 samples ...
Real-time Sampling of Particulate Matter Smaller than 2.5 µm from Amazon Forest Biomass Combustion
(Pergamon-Elsevier B.V. Ltd, 2012-07-01)
Particle size distribution from forest biomass combustion is an important parameter as it affects air quality, global climate and human health. There have been several studies that relate emission of 2.5e10 mm particulates ...