Results 31 to 40 of about 10,145,001 (387)
Fiducial Lower Confidence Limit of Reliability for a Power Distribution System
Applied Sciences, 2021 Reliability performance, especially the lower confidence limit of reliability, plays an important role in system risk and safety assessment. A good estimator of the lower confidence limit of system reliability can help engineers to make the right ...
Xia Cai, Liang Yan, Yan Li, Yutong Wu
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Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data [PDF]
Computer Vision and Pattern Recognition, 2020 Deep neural networks have attained remarkable performance when applied to data that comes from the same distribution as that of the training set, but can significantly degrade otherwise. Therefore, detecting whether an example is out-of-distribution (OoD)
Yen-Chang Hsu +3 more
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Confidence intervals for distributional positions
Communications in Statistics - Theory and Methods, 2022 A common problem with ranking lists (e.g., regarding success/failure proportions of treatments at hospitals) is that smaller units tend to end up either in the top or in the bottom just by pure chance. To alleviate this problem, we propose a method that, for a given unit, gives a confidence interval for the position of this unit within the distribution
Holm, Sture, Larsson, Rolf
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, 2014 This paper deals with the estimation of reliability $R=P ...
Jafari, Ali Akbar +2 more
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Bayesian Approach for Confidence Intervals of Variance on the Normal Distribution
International Journal of Mathematics and Mathematical Sciences, 2022 This research aims to compare estimating the confidence intervals of variance based on the normal distribution with the primary method and the Bayesian approach. The maximum likelihood is the well-known method to approximate variance, and the Chi-squared
Autcha Araveeporn
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Opinion formation and distribution in a bounded confidence model on various networks [PDF]
Physical Review E, 2017 In the social, behavioral, and economic sciences, it is important to predict which individual opinions eventually dominate in a large population, whether there will be a consensus, and how long it takes for a consensus to form.
R. A. Gorder +2 more
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Uncertainty inherent in empirical fitting of distributions to experimental data
International Journal of Metrology and Quality Engineering, 2013 Treatment of experimental data often entails fitting frequency functions, in order to draw inferences on the population underlying the sample at hand, and/or identify plausible mechanistic models.
Barbato G., Genta G., Levi R.
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IEEE Transactions on Sustainable Energy, 2021 This article proposes a confidence interval based distributionally robust real-time economic dispatch (CI-DRED) approach, which considers the risk related to accommodating wind power. In this article, only the wind power curtailment and load shedding due
Peng Li, Ming Yang, Qiuwei Wu
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Scientia Agricola, 2022 A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for researchers and breeders on the experimental quality of ...
Maicon Nardino +7 more
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Confidence interval estimation of gamma distribution lifetime data using score and bootstrap methods
Desimal, 2021 Confidence interval estimation of parameters determines the value interval, which is calculated based on statistical measurements and has specific estimates probability that contains the actual parameters.
Larasati Larasati +2 more
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