sequential sampling
Hierarchical Knowledge Gradient for Sequential Sampling
... a sequential sampling policy for noisy discrete global optimization and ranking and selection, in which we aim to efficiently explore a finite set of alternatives before selecting an alternative as best ...
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Efficient sequential sampling for global optimization in static and dynamic environments
... parallel sampling or multi-point sequential sampling, and given its importance and the lack of literature concentrating the most relevant existing methods, we present a survey on this topic in ...
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Adaptive list sequential sampling method for population-based observational studies
... Background: In population-based observational studies, non-participation and delayed response to the invitation to participate are complications that often arise during the recruitment of a sample. When both are not ...
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Optimal Sequential Sampling Plans Using Dynamic Programming Approach
... optimal sequential sampling ...of sampling, accepting or rejecting the ...on sequential approach. A sequential iterative approach is used for modeling the cost of different decisions in ...
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Empirical Bayes Prediction for Variables Process Mean in Sequential Sampling Plan
... variable sampling plans can be classified by variables sampling for the process parameters and estimation proportion nonconforming in the ...variables sampling plan and assumed normal and lognormal ...
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Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
... by sequential sampling methods (Dodge and Romig, 1929, Wald, 1947) which have also been re- ferred to as adaptive sampling methods (Domingo et ...of sequential sampling is that when the ...
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Decision making under time pressure: an independent test of sequential sampling models
... The sequential sampling model also makes specific predictions for this task concerning the mean response times for two different types of ...The sequential sampling model predicts that ...
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The development of a sequential sampling plan for management of stripe rust (Puccina striiformis West.) in winter wheat (Triticum aestivum L.)
... Relationship between yield loss and area under the wheat stem rust and leaf rust progress. curves[r] ...
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Modeling violations of the race model inequality in bimodal paradigms: co activation from decision and non decision components
... However, a comparison with the studies of Diederich (1995) and Diederich and Colonius (1987) remains problematic. Both studies examined the goodness-of-fit only for decisional models and only at the level of reaction ...
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Design of Low Power Radar Level Sensor with Improved Accuracy Rate for Sodium Level Detection in PFBR
... Internal piping, deposits on the antenna, multiple reflections, or reflections from the wall can interfere with the proper operation of the radar sensor. Other sources of interference are rat-holing and bridging of ...
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Why does higher working memory capacity help you learn?
... of sequential sampling, or ‘particle filtering’, and suggest that an individ- ual’s working memory capacity (WMC) may be usefully mod- elled in terms of the number of samples, or ‘particles’, that are ...
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An Electrophysiological Investigation into Temporal Factors in Human Perceptual Decision Making
... as sequential sampling models ...the sequential sampling framework has been the dominant driver of neurophysiological investigations into perceptual ...of sequential sampling ...
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Three methods to monitor utilization of healthcare services by the poor
... incidence, sequential sampling and LQAS methods can be applied at the facility level to provide information about the pro-poor nature of the services and compared to the community based approaches these ...
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Adaptive survey designs for sampling rare and clustered populations
... probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high ...probability sampling offer flexibility for designing a long ...
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Construction of Some Unbalanced Designs for the Partition Problem
... the sequential procedure with elimination is the best choice, with respect to robustness and the total sample ...If sequential sampling is not convenient, then the fine tuned three-stage procedure is ...
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Estimation of the Allele Number in a Natural Population by the Method of Isofemale Lines
... The number of alleles present in a natural population of unknown structure is estimated using a sequential sampling procedure applied to isofemale lines.. T w o questi[r] ...
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Erroneous statistical evaluation of a new diagnostic test for invasive Candida infection
... On the basis of sequential sampling of patients at high risk for developing invasive candidiasis, the sensitivity and specificity of the CACP antigen EIA were 67% patient episodes and 82[r] ...
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Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy
... the sampling plan to simulate the process of sequential sampling 10,000 times from each of the data ...the sampling plan is referred to individu- ally as a resembling ...the sampling ...
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A structured approach to web panel surveys: the use of a sequential framework for non random survey sampling inference
... Given the unrepresentativeness of the panels, it is uncommon for a researchers to design a simple random sample from the panel. More likely, panel manage- ment will sample by non random purposive methods. In the panel ...
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Neural Particle Smoothing for Sampling from Conditional Sequence Models
... We introduce neural particle smoothing, a sequential Monte Carlo method for sampling annotations of an input string from a given probability model. In contrast to conventional particle filtering algorithms, ...
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