Results 21 to 30 of about 3,060,296 (340)
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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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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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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, 2014 This paper deals with the estimation of reliability $R=P ...
Jafari, Ali Akbar +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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Symmetric confidence regions and confidence intervals for normal map formulations of stochastic variational inequalities [PDF]
, 2014 Stochastic variational inequalities (SVI) model a large class of equilibrium problems subject to data uncertainty, and are closely related to stochastic optimization problems.
Lu, Shu
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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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Confidence Sets for a Multivariate Distribution
The Annals of Statistics, 1986 The confidence sets for a $q$-dimensional distribution studied in this paper have several attractive features: affine invariance, correct asymptotic level whatever the actual distribution may be, numerical feasibility, and a local asymptotic minimax optimality property.
Beran, R., Millar, P. W.
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Scientia Agricola, 2022 A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for researchers and breeders on the experimental quality of ...
Maicon Nardino +7 more
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