Results 21 to 30 of about 3,223,931 (336)
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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Journal of Modern Power Systems and Clean Energy, 2021 With the gradual increase of distributed energy penetration, the traditional optimization model of distribution network can no longer guarantee the stable and efficient operation of the distribution network.
Yanhong Luo +3 more
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Estimation of Gini Index within Pre-Specied Error Bound [PDF]
, 2015 Gini index is a widely used measure of economic inequality. This article develops a general theory for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width.
Chattopadhyay, Bhargab +1 more
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The Mass Distribution of Stellar-Mass Black Holes [PDF]
, 2010 We perform a Bayesian analysis of the mass distribution of stellar-mass black holes using the observed masses of 15 low-mass X-ray binary systems undergoing Roche lobe overflow and five high-mass, wind-fed X-ray binary systems.
Abadie +33 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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Confidence Sets for a Multivariate Distribution
The Annals of Statistics, 1986 Studied in this paper is an alternative multivariate version of the one- dimensional Kolmogorov-Smirnov confidence band which preserves affine invariance. Moreover, it has correct asymptotic level for arbitrary actual distribution and possesses a local minimax optimality property. Critical values are determined by bootstrapping.
Beran, R., Millar, P. W.
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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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Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy. [PDF]
, 2017 Deformable image registration is a powerful tool for mapping information, such as radiation therapy dose calculations, from one computed tomography image to another. However, deformable image registration is susceptible to mapping errors.
Chen, Josephine +5 more
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"Building" exact confidence nets [PDF]
, 2016 Confidence nets, that is, collections of confidence intervals that fill out the parameter space and whose exact parameter coverage can be computed, are familiar in nonparametric statistics.
Francis, Andrew R. +2 more
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, 2009 By representing the range of fair betting odds according to a pair of confidence set estimators, dual probability measures on parameter space called frequentist posteriors secure the coherence of subjective inference without any prior distribution.
Datta G. S. +16 more
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