sampling approach
An Assessment of the Young Lives Sampling Approach in Peru
... site sampling approach. This consisted of a multistage sampling procedure, whereby 20 sentinel sites per study country were selected non- randomly, while 100 households within a sentinel site were ...
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Computerized experience-sampling approach for realtime assessment of stress
... experience sampling approach, originally a paper-and - pencil methodology developed by Csikszentmihalyi and Larson ...Experience Sampling Method [16], Real-Time Data Capture [17], and Day ...
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An experience sampling approach to the workplace environment survey
... repeated sampling approach can be effectively implemented in practice, we suggest several ...experience sampling mobile applications to deliver the survey, where reminders can be automatically ...
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Optimizing Association Rule using Genetic Algorithm and Data Sampling Approach
... the sampling technique and second directly usage the outcomes of the Apriori and FP-Tree algorithm and make search from one algorithm’s rule set to ...results sampling based technique needs additional ...
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Multicoset Sampling Approach in Cognitive Radio for Spectrum Sensing
... In this paper, we have proposed a wideband spectrum sensing technique based on non-uniform sub-Nyquist multicoset sampling. We have shown that the proposed sensing method shows high detection and low false alarm ...
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An extended latin hypercube sampling approach for CAD model generation
... perform sampling for constrained ...uniform sampling in the design space, a heuristic method based on the uniform finite element meshes was ...dimensional sampling problems more than ...
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Continuation-ratio Model for Categorical Data: A Gibbs Sampling Approach
... and has become popular recently, for Bayesian com- putation in complex statistical models. MCMC is es- sentially Monte Carlo integration using Markov chains. Bayesian analysis requires integration over possibly high- ...
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A Learning based Sampling Approach to Extractive Summarization
... Through our experimental results in this pa- per, we firstly observed that training the classifier on WRGS (weighted-resampled gold standard) in- stances, rather than all the annotated DAs improved the weighted precision ...
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Monte Carlo sampling approach to stochastic programming
... It is difficult to point out an exact origin of this method. Variants of this approach were suggested by a number of authors under different names (e.g., Rubinstein and Shapiro (stochastic counterpart method) ...
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Volume 26 - Article 5 | Pages 131–150
... Systematic sampling and data collection among hard-to-reach and “hidden” populations have always been a major challenge for social ...probability sampling approach tailored to the occupational ...
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Activity-based Twitter sampling for content-based and user-centric prediction models
... of sampling approaches focus on individual static networks, dynamic user activity over time is usually not con- sidered, which may result in activity gaps in the collected ...activity-based sampling ...
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A census weighted, spatially stratified household sampling strategy for urban malaria epidemiology
... the sampling strategy introduced here is not limited to KAP surveys, but should be applicable to any study that requires a population-representative sample across a large urban area, particularly where environmen- ...
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OS-aware automotive controller design using non-uniform sampling
... optimal sampling period assignment is investigated in Cervin et ...new sampling periods based on the current plant ...of sampling periods is not ...
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Understanding the epidemiology of avoidable significant harm in primary care: protocol for a retrospective cross sectional study
... The next stage of sampling (stage 3) will identify patients with signi fi cant health problems (irrespective of whether they are avoidable or not). It will involve one of the GP reviewers screening the electronic ...
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Fan Dust Samples-A New Approach to Aero-phycological Sampling
... Aero-algal sampling, using household ceiling fan, as an air sampler, was attempted for the first time. For this, air-born dust (along with bio-particles) adhering to the ceiling fan blades, was collected. Several ...
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Optimal Sequential Sampling Plans Using Dynamic Programming Approach
... use sampling for this purpose. In this work, a new decision making approach for accepting or rejecting a sample based on recursive inference is ...programming approach. Also, sequential ...
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Towards Distributed MCMC Inference in Probabilistic Knowledge Bases
... hypergraph sampling. Early empirical results show that the approach efficiently and accu- rately computes a-posteriori prob- abilities of a knowledge base de- rived from a well-known informa- tion ...
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Estimation Of Population Total Using Model-Based Approach: A Case Of HIV/AIDS In Nakuru Central District, Kenya
... model-assisted approach. In model-assisted approach some auxiliary variables are commonly incorporated in the estimation procedure by using a model, but the inferences are still design ...this ...
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WIDS Approach for Class Imbalance Using Hybrid Sampling
... The proposed work is a recursive filter used to remove salt & pepper noise. The detection stage detects the noisy pixels and they are further passed to the next filtering stage. The noise-free pixels are retained as ...
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WIDS Approach for Class Imbalance Using Hybrid Sampling
... DAX is a specialized caching for DynamoDB and the elastic cache is a generic caching mechanism with Redis store and you can put elastic cache in front of any of RDS database. For example, dynamo DB too. DAX is built in ...
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