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Identifying Uncertainty Distributions and Confidence Regions of Power Plant Parameters
Power system operators, when obtaining a model's parameter estimates; require additional information to guide their decision on a model's acceptance.
Tetiana Bogodorova +3 more
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Recursive construction of confidence regions
Assuming that one-step transition kernel of a discrete time, time-homogenous Markov chain model is parameterized by a parameter $θ\in \boldsymbol Θ$, we derive a recursive (in time) construction of confidence regions for the unknown parameter of interest, say $θ^*\in \boldsymbol Θ$.
Bielecki, Tomasz +2 more
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Segregated Co-activation Patterns in the Emergence of Decision Confidence During Visual Perception
Visual metacognition—the introspection and evaluation of one’s own visual perceptual processes—is measured through both decision confidence and “metacognitive efficiency.” Metacognitive efficiency refers to an individual’s ability to accurately judge ...
Cilia Jaeger +14 more
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Simultaneous confidence regions for multivariate bioequivalence [PDF]
Demonstrating bioequivalence of several pharmacokinetic (PK) parameters, such asAUCandCmax, that are calculated from the same biological sample measurements is in fact a multivariate problem, even though this is neglected by most practitioners and regulatory bodies, who typically settle for separate univariate analyses.
Philip Pallmann, Thomas Jaki
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Summary To test a hypothesis that a parameter has value θ* we usually ask whether an observation falls in a critical region of the outcome space. It is well known that, by a suitable choice of confidence region, an equivalent test is to ask whether θ* lies outside the confidence region.
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Robust confidence regions for incomplete models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Larry G. Epstein +2 more
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Previously, we identified a subset of regions where the relation between decision confidence and univariate functional magnetic resonance imaging (fMRI) activity was quadratic, with stronger activation for both high and low compared with intermediate ...
Matan Mazor +2 more
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MSER Based Text Localization for Multi-language Using Double-Threshold Scheme
In this paper, a region-based text localization that is robust for multiple languages is presented. Maximally Stable Extremal Regions (MSERs) are used for detecting candidates of text areas.
Chayut Wiwatcharakoses, Karn Patanukhom
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Cox proportional hazards model with measurement errors is considered. In Kukush and Chernova (2017), we elaborated a simultaneous estimator of the baseline hazard rate $\lambda (\cdot )$ and the regression parameter β, with the unbounded parameter set ...
Oksana Chernova, Alexander Kukush
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Copy number variations (CNVs) are important source of genetic variation, which can affect diverse economic traits through a variety of mechanisms. In addition, genome scan can identify many quantitative trait loci (QTLs) for the economic traits, while ...
Jie Cheng +10 more
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