Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Lesley Walls +8 more
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Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
core +1 more source
Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]
, 2008 Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
K. Hutchison +7 more
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Passive radar sparse imaging with transmitter and receiver position errors
The Journal of Engineering, 2019 Passive radar sparse imaging requires accurate known system observation matrix, but in practical applications there usually exists transmitter and receiver position errors, which would make radar observation matrix partially unknown, resulting in ...
Tianyun Wang +4 more
doaj +1 more source
Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods
Mathematics, 2023 In the fields of finance, insurance, system reliability, etc., it is often of interest to measure the dependence among variables by modeling a multivariate distribution using a copula.
Lu Lu, Sujit Ghosh
doaj +1 more source
Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
, 2010 Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
K J Wilson +3 more
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A New Heuristic Approach for Treating Missing Value: ABCimp
Elektronika ir Elektrotechnika, 2019 Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets.
Pinar Cihan, Zeynep Banu Ozger
doaj +1 more source
Sparse Bayesian learning-based mainlobe blanket jamming suppression algorithm
The Journal of Engineering, 2019 The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the electronic counter-countermeasures field. In this article, a sparse Bayesian learning (SBL)-based mainlobe blanket jamming suppression algorithm is proposed for solving ...
Bilei Zhou +4 more
doaj +1 more source
Conundrum of fault detection in active hybrid AC–DC distribution networks
The Journal of Engineering, 2020 Fault detection in hybrid AC–DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity. A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by ...
Shahram Negari, David Xu
doaj +1 more source
Internet of things based multi-sensor patient fall detection system
Healthcare Technology Letters, 2019 Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness.
Sarah Khan +5 more
doaj +1 more source