Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Coolen, Frank P. A."'
Autor:
Coolen, Frank P. A.1 (AUTHOR) frank.coolen@durham.ac.uk, Coolen-Maturi, Tahani1 (AUTHOR), Mahnashi, Ali M. Y.2 (AUTHOR) amahnashi@jazanu.edu.sa
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 22, p3514. 14p.
Classification is the task of assigning a new instance to one of a set of predefined categories based on the attributes of the instance. A classification tree is one of the most commonly used techniques in the area of classification. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2108.11245
The logrank test is a well-known nonparametric test which is often used to compare the survival distributions of two samples including right censored observations, it is also known as the Mantel-Haenszel test. The $G^{\rho}$ family of tests, introduc
Externí odkaz:
http://arxiv.org/abs/2008.00848
The concept of joint bivariate signature, introduced by Navarro et al. (2013), is a useful tool for quantifying the reliability of two systems with shared components. As with the univariate system signature, introduced by Samaniego (2007), its applic
Externí odkaz:
http://arxiv.org/abs/2007.02189
Akademický článek
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Publikováno v:
Reliability Engineering & System Safety (2019), 189, pp.416-422
It is often difficult for a phased mission system (PMS) to be highly reliable, because this entails achieving high reliability in every phase of operation. Consequently, reliability analysis of such systems is of critical importance. However, efficie
Externí odkaz:
http://arxiv.org/abs/1807.09616
Autor:
Walter, Gero, Coolen, Frank P. A.
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estimates for the reliability of a system, it is therefore often necessary to also include expert information in the analysis, which is straightforward in
Externí odkaz:
http://arxiv.org/abs/1610.07222
Autor:
Walter, Gero, Coolen, Frank P. A.
In Bayesian statistics, the choice of prior distribution is often debatable, especially if prior knowledge is limited or data are scarce. In imprecise probability, sets of priors are used to accurately model and reflect prior knowledge. This has the
Externí odkaz:
http://arxiv.org/abs/1610.07217
Publikováno v:
International Journal of Approximate Reasoning (2017), 80, pp.67-88
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components is developed. This allows modelling partial or imperfect prior knowledge on component failure distributions in a flexible way through bounds on the f
Externí odkaz:
http://arxiv.org/abs/1602.01650
Akademický článek
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