Results 261 to 270 of about 11,879,570 (313)
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Simulation modelling practice and theory, 2019
Agent-based modeling is an effective way of understanding and analyzing complex adaptive phenomena. In this respect, discovering the relationship between inputs and outputs of agent-based models is the ultimate way of providing insights into ...
Mert Edali, Gönenç Yücel
semanticscholar +1 more source
Agent-based modeling is an effective way of understanding and analyzing complex adaptive phenomena. In this respect, discovering the relationship between inputs and outputs of agent-based models is the ultimate way of providing insights into ...
Mert Edali, Gönenç Yücel
semanticscholar +1 more source
Software testing and sequential sampling
IEEE Journal on Selected Areas in Communications, 1994The paper briefly describes sequential sampling and explains how such sampling procedures can be integrated into a software testing strategy to provide benefit. Using first-pass failure rate, (a simple software testing metric), as a quality indicator, the authors show theoretically and empirically how sequential sampling plans can be used to establish ...
Alfred J. Lamperez, Steel T. Huang
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Sequential Defect Removal Sampling
Management Science, 1994Standard inspection methods underestimate the true number of defects or nonconformities in a complex product (e.g., automobile, mobile home, airplane, circuit board, computer program) when an inspector is unable to identify every defect with certainty.
Douglas G. Bonett, J. Arthur Woodward
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Response times in economics: Looking through the lens of sequential sampling models
Journal of Economic Psychology, 2018Economics is increasingly using process data to make novel inferences about preferences and predictions of choices. The measurement of response time (RT), the amount of time it takes to make a decision, offers a cost-effective and direct way to study the
J. Clithero
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Crop Protection, 2019
Decision-making systems, comprised of sampling plans and decision indices, are essential components of integrated pest management (IPM) programs. Sampling plans allow the manager to verify if the pest reached the economic injury level (EIL).
M. C. Lopes +7 more
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Decision-making systems, comprised of sampling plans and decision indices, are essential components of integrated pest management (IPM) programs. Sampling plans allow the manager to verify if the pest reached the economic injury level (EIL).
M. C. Lopes +7 more
semanticscholar +1 more source
Crop Protection, 2019
The sweetpotato whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae), is an important pest in melon crops worldwide. Decision-making systems are an essential part of Integrated Pest Management (IPM) programs and are composed of sampling plans and economic ...
T. L. Costa +6 more
semanticscholar +1 more source
The sweetpotato whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae), is an important pest in melon crops worldwide. Decision-making systems are an essential part of Integrated Pest Management (IPM) programs and are composed of sampling plans and economic ...
T. L. Costa +6 more
semanticscholar +1 more source
Ascertainment in the sequential sampling of pedigrees
Clinical Genetics, 1977One aim in the analysis of pedigree data may be to infer the mode of inheritance of a characteristic. If only “interesting” pedigrees are analysed, the ascertainment bias may lead to some modes of inheritance being unintentionally preferred. Also, it is clearly most efficient in attempting to make such inferences, if a decision on whether to continue ...
C, Cannings, E A, Thompson
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Vector Addressing for Non-Sequential Sampling in Fir Image Filtering
International Conference on Information Photonics, 2019Image filtering is fundamental in image processing. The acceleration is essential since image resolution has highly increased. For the acceleration, image subsampling is a general approach for any filtering.
Norishige Fukushima +2 more
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Communications in Statistics. Part C: Sequential Analysis, 1983
Summary: Bayesian sequential sampling plans are investigated numerically, for testing the mean of a normal distribution (''high'' values are acceptable, but ''low'' values are not). The variance is known, the prior of the mean is normal, and a linear loss function is used.
Wetherill, G. Barrie, Köllerström, J.
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Summary: Bayesian sequential sampling plans are investigated numerically, for testing the mean of a normal distribution (''high'' values are acceptable, but ''low'' values are not). The variance is known, the prior of the mean is normal, and a linear loss function is used.
Wetherill, G. Barrie, Köllerström, J.
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Sequential Sampling in Noisy Environments
2004In an environment where fitness evaluations are disturbed by noise, the selection operator is prone to errors, occasionally and intendedly selecting the worse individual. A common method to reduce the noise is to sample an individual’s fitness several times, and use the average as an estimate of the true fitness.
Jürgen Branke, Christian Schmidt 0002
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