Results 331 to 340 of about 10,224,594 (387)

On Cox’s Confidence Distribution

1987
A confidence distribution function is a graphical tool for flexible statistical analyses. It provides one- and two-sided tests of simple and interval hypotheses for any size, central and symmetrical confidence intervals of any level. Given an interval of equivalent values, it quantifies the strength of evidence for “no material difference” between two ...
J. Mau
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Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis

UNSURE/PIPPI@MICCAI, 2021
Image classification models deployed in the real world may receive inputs outside the intended data distribution. For critical applications such as clinical decision making, it is important that a model can detect such out-of-distribution (OOD) inputs ...
Christoph Berger, Magdalini Paschali, Ben Glocker, K. Kamnitsas   +3 more
semanticscholar   +1 more source

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2021
Imbalanced class distribution is an inherent problem in many real-world classification tasks where the minority class is the class of interest. Many conventional statistical and machine learning classification algorithms are subject to frequency bias ...
K. Ruwani, M. I. M. Fernando, Cris P Tsokos   +2 more
semanticscholar   +1 more source

Confidence distributions: A review

Statistical Methodology, 2015
Abstract A review is provided of the concept confidence distributions . Material covered include: fundamentals, extensions, applications of confidence distributions and available computer software. We expect that this review could serve as a source of reference and encourage further research with respect to confidence distributions.
Sergey Bityukov, N. V. Krasnikov, Saralees Nadarajah   +2 more
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Confidence Bands for the Weibull Distribution

Technometrics, 1975
Based on a random sample from the Weibull population with unknown shape and scale parameters, one- and two-sided confidence bands on the entire cumulative distribution function, and simultaneous confidence intervals for the interval probabilities under the distribution are constructed using Kolmogorov-Smirnov type statistics.
R. Srinivasan, R. M. Wharton
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Confidence characteristics of distributions

Statistics & Probability Letters, 2003
We introduce the confidence characteristic of a distribution as the distribution corresponding to the decomposition concentration function. We show that the decomposition concentration function has very good differentiability properties for any distribution, that the Lebesgue measures of the shortest confidence regions of a distribution and its ...
openaire   +2 more sources

Combining information for heterogeneous studies and rare events studies: A confidence distribution approach

, 2012
OF THE DISSERTATION Combining Information for Heterogeneous Studies and Rare Events Studies: a Confidence Distribution Approach by Dungang Liu Dissertation Director: Regina Liu and Minge Xie This dissertation develops efficient statistical methodologies ...
Dungang Liu
semanticscholar   +1 more source

Distribution‐free confidence intervals

Statistica Neerlandica, 1972
Summary  A general approach for converting a certain class of nonparametric tests into confidence intervals for suitably defined parameters is discussed. The class of tests comprises but is not limited to lineair rank tests for the one‐sample, two‐sample, and linear regression problems.
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Confidence distributions and related themes

Journal of Statistical Planning and Inference, 2018
Abstract This is the guest editors’ general introduction to a Special Issue of the Journal of Statistical Planning and Inference, dedicated to confidence distributions and related themes. Confidence distributions (CDs) are distributions for parameters of interest, constructed via a statistical model after analysing the data.
Nils Lid Hjort, Tore Schweder
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Confidence, power and distributive preferences

Mind & Society, 2020
The aims of this study were twofold, to: (1) examine the behavior displayed by participants who expected to be nominated for donor roles in dictator games wherein initial endowments of players are determined by lottery and (2) investigate the conduct of donors who were confident in their good fortune in relation to their power as they redistributed the
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