Adaptive geostatistical design and preferential sampling
Geostatistical inference under preferential sampling
... non-preferential sampling designs are consistent with the unbiasedness of the empir- ical variogram ordinates; although smoothing the empirical variogram ordinates does induce some bias, this effect is ...
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Adaptive geostatistical design and analysis for prevalence surveys
... the design strategy. We have developed an adaptive design strategy within a model-based geostatistics framework for survey-based disease mapping in poor resource ...particular design strategy ...
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Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross sectional surveys in rural Malawi
... of adaptive sampling for continuous spatial diseases surveillance in this small study ...cluster sampling approach based on clusters from most recent population ...2-stage sampling, then AGD ...
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Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross sectional surveys in rural Malawi
... of adaptive sampling for continuous spatial diseases surveillance in this small study ...cluster sampling approach based on clusters from most recent population ...2-stage sampling, then AGD ...
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Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross sectional surveys in rural Malawi
... random sampling techniques that are inefficient for capturing underlying heterogeneity while health facility data in resource-limited settings are ...variation. Adaptive geostatistical design ...
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Accounting for preferential sampling in species distribution models
... to geostatistical models, which are used to associate observa‐ tions of species occurrence or abundance with environmental covariates in a finite number of locations in order to predict where (and how much of) a ...
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Spatial hedonic modelling adjusted for preferential sampling
... over- sampling of subregions where prices tended to be low, ...if preferential sampling arises (in fact, it does as we show in Section 4), then it will be attributable to economic forces which ...
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SAMPLING DESIGNS - RANDOM SAMPLING, ADAPTIVE AND SYSTEMATIC SAMPLING
... of adaptive sampling can also be applied to situations that are well enough studied to utilize stratified ...stratified adaptive sampling random samples are taken from each stratum in the ...
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A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
... challenging design prob- ...optimization, design space exploration, prototyping, and sensitivity ...and adaptive machine learning toolkit for regression modeling and active learning to tackle these ...
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Adaptive distance sampling
... an adaptive line transect survey using a Paiallel neighbourhood in a SIS design, with a short transect leg compared to the off-effort travel incurred moving to the parallel adaptive ...of ...
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Adaptive sampling in digital control
... Adaptive sampling in digital control Abstract This study provides a set of design curves from which effective digital control for an experiment can be obtained and at the same time efficient use of a ...
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Using Spatial Uncertainty of Prior Measurements to Design Adaptive Sampling of Elevation Data
... A geostatistical simulation technique was used to simulate field DEMs using measurements with different pass intervals and to quantitatively assess the spatial uncertainty of the DEM ...an adaptive ...
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An Adaptive Defect Weighted Sampling Algorithm to Design Pseudoknotted RNA Secondary Structures
... Computational design of RNA sequences that fold into targeted secondary structures has many applications in biomedicine, nanotechnology and synthetic ...to design RNA sequences for pseudoknotted secondary ...
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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling
... systems design and the battery technology, but very few studies target to exploit the input signal time-varying ...conventional sampling scheme and adaptive rate ...Crossing Sampling Scheme) ...
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Constrained Inverse Adaptive Cluster Sampling
... the adaptive cluster sampling would coincide with the initial sample and no information on the distribution of the relevant values of the variable of interest would be ...extra sampling (but ...
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Adaptive sampling of cumulus clouds with UAVs
... general design of the UAVs sent by meteorologist for such missions and the selected UAV for the project: dynamic maneuvers indeed de- grade the measurements quality, and are not energy ...
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Partial systematic adaptive cluster sampling
... systematic adaptive cluster sampling with a single PSU and a single SSU is probably the most optimal tradeoff between cost and an unbiased variance ...PSACS design with a stopping rule where ...
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Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
... stochastic sampling design or generally time-consuming multiobjective optimization problems for large-scale ...stochastic sampling design should be further investigated in real case ...
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A Multi-Fidelity Based Adaptive Sampling Optimisation Approach for the Rapid Design of Double-Negative Metamaterials
... The success and failure of surrogate based optimisation rests on the correct choice of model and infill criteria. Global based optimisation must find the right balance between exploitation and exploration of the ...
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A Multi-Dimensional Adaptive Sampling Method for Analysis and Design of Frequnecy Selective Surface with Arbitrary Element
... Figure 14. Power transmission of FSS radome. are thousands of FSS cells on the radome for engineering project. Some performance of large FSS radome, such as the frequency response, scan angle of antennas and radar ...
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