Asymptotics for Weighted Random Sums [PDF]
Advances in Applied Probability, 2012 Let {Xi} be a sequence of independent, identically distributed random variables with an intermediate regularly varying right tail F̄. Let (N, C1, C2,…) be a nonnegative random vector independent of the {Xi} with N∈ℕ∪ {∞}. We study the weighted random sum SN=∑{i=1}NCiXi, and its maximum, MN=sup{1≤kN+1∑i=1kCiXi.
Mariana Olvera‐Cravioto
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Weighted Sum Secrecy Rate Maximization for Joint ITS- and IRS-Empowered System [PDF]
Entropy, 2023 In this work, we investigate a novel intelligent surface-assisted multiuser multiple-input single-output multiple-eavesdropper (MU-MISOME) secure communication network where an intelligent reflecting surface (IRS) is deployed to enhance the secrecy ...
Shaochuan Yang +4 more
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Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks [PDF]
Frontiers in NeuroscienceIn deep neural network (DNN) models, the weighted summation, or multiply-and-accumulate (MAC) operation, is an essential and heavy calculation task, which leads to high power consumption in current digital processors.
Quan Wang +4 more
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Performance Evaluation of Subcontractors Using Weighted Sum Method through KPI Measurement
Journal of Engineering Technology and Applied Physics, 2023 Key Performance Indicators (KPIs) help measure objectives critical to business sustainability. This research takes place in a toy factory’s injection moulding department that has yet to develop indicators for subcontractor performance. Poor subcontractor
Richard Nico Lumanauw +5 more
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Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores [PDF]
Genomics & Informatics, 2016 The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods ...
Cue Hyunkyu Lee +3 more
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A groupwise association test for rare mutations using a weighted sum statistic. [PDF]
PLoS Genetics, 2009 Resequencing is an emerging tool for identification of rare disease-associated mutations. Rare mutations are difficult to tag with SNP genotyping, as genotyping studies are designed to detect common variants.
Bo Eskerod Madsen, Sharon R Browning
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Developing a multi- objective mathematical programming model for compost supply chain design regarding the produced compost quality and environmental sustainability. [PDF]
مجله مدل سازی در مهندسی, 2022 For a long time, waste materials have been used to produce compost by different methods. Despite the high importance of compost as an organic fertilizer for the fertility of agricultural products, the literature review on the compost supply chain shows ...
sima ghayebloo +2 more
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The Effect of Different Weighting Ratios, Length, and Thickness on Weighted Sum of the First Natural Frequency and Critical Buckling Load for a Laminated Composite Circular Cylindrical Shell [PDF]
Mechanics of Advanced Composite Structures, 2021 In this study, a weighted sum, consisting two non-dimensionalized quantities critical buckling force and natural frequency, is employed to maximize the objective function for a laminated composite circular cylindrical shell. The function is considered to
Roozbeh Ashrafian, Ali Ghoddosian
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COMBINING LIKERT ITEMS WITH DIFFERENT NUMBER OF RESPONSE CATEGORIES [PDF]
Proceedings on Engineering Sciences, 2020 Three assumption-free approaches are described to convert and combine scores of Likert items with different response categories to obtain comparable test scores for a single sample.
Satyendra Nath Chakrabartty
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Private Weighted Sum Aggregation [PDF]
IEEE Transactions on Control of Network Systems, 2022 As large amounts of data are circulated both from users to a cloud server and between users, there is a critical need for privately aggregating the shared data. This paper considers the problem of private weighted sum aggregation with secret weights, where an aggregator wants to compute the weighted sum of the local data of some agents.
Andreea B. Alexandru, George J. Pappas
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