Results 11 to 20 of about 2,439,307 (250)
Confidence Region for Calibration Function Coefficients
Measurement Science Review, 2018 The paper deals with the comparative calibration model, i.e. with a situation when both variables are subject to errors. The calibration function is supposed to be a polynomial.
Ráboňová Petra, Wimmer Gejza
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A frequentist analysis of solar neutrino data [PDF]
, 2000 We calculate with Monte Carlo the goodness of fit and the confidence level of the standard allowed regions for the neutrino oscillation parameters obtained from the fit of solar neutrino data.
Abdurashitov +43 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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On the integrity of deformation monitoring
Geomatics, Natural Hazards & Risk, 2020 In safety-critical applications, deformation monitoring systems are required to issue timely alerts when a deformation beyond a critical threshold occurs. Only a very small probability of failing to issue an alert when in fact one should have been given,
P. J. G. Teunissen +2 more
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Modern Stochastics: Theory and Applications, 2018 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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European Psychiatry, 2021 Introduction The bi-directional relationship between mental and physical illness is well established. Therefore, in order to lower the already high mortality rates associated with psychiatric disorders, physical health issues must be closely monitored ...
M. O’Donnell +4 more
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Teetool -- a probabilistic trajectory analysis tool
Journal of Open Research Software, 2017 Teetool is a Python package which models and visualises motion patterns found in two- and three-dimensional trajectory data. It models the trajectories as a Gaussian process and uses the mean and covariance of the trajectory data to produce a confidence ...
Willem Eerland +3 more
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ROBUST LOW-ALTITUDE IMAGE MATCHING BASED ON LOCAL REGION CONSTRAINT AND FEATURE SIMILARITY CONFIDENCE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Improving the matching reliability of low-altitude images is one of the most challenging issues in recent years, particularly for images with large viewpoint variation.
M. Chen +4 more
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Statistical Hypothesis Testing for Asymmetric Tolerance Index
Applied Sciences, 2021 Many of the nominal-the-best quality characteristics of important machine tool components, such as inner or outer diameters, have asymmetric tolerances. An asymmetric tolerance index is a function for the average of the process and the standard deviation.
Kuen-Suan Chen +3 more
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Confidence Intervals and Upper Bounds for Small Signals in the Presence of Background Noise [PDF]
, 2000 We discuss a new method for setting limits on small signals in the presence of background noise. The method is based on a combination of a two dimensional confidence region and the large sample approximation to the likelihood ratio test statistic.
Angel M. López +8 more
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