Results 41 to 50 of about 10,224,594 (387)
Scientia Marina, 2003 Frequentist concepts of confidence distribution, reduced likelihood and likelihood synthesis are presented as tools for integrative statistical analysis, leading to distributional inference.
Tore Schweder
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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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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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, 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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Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number [PDF]
, 2014 The purpose of the present paper is to assess the efficacy of confidence intervals for Rosenthal's fail-safe number. Although Rosenthal's estimator is highly used by researchers, its statistical properties are largely unexplored.
Fragkos, Konstantinos C. +2 more
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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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