Results 11 to 20 of about 263,469 (298)
Characterization of admissible linear estimators under extended balanced loss function [PDF]
Kybernetika, 2021 summary:In this paper, we study the admissibility of linear estimator of regression coefficient in linear model under the extended balanced loss function (EBLF).
Buatikan Mirezi, Selahattin Kaçiranlar
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Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function [PDF]
Journal of Applied Mathematics, 2014 Under a balanced loss function, we derive the explicit formulae of the risk of the Stein-rule (SR) estimator, the positive-part Stein-rule (PSR) estimator, the feasible minimum mean squared error (FMMSE) estimator, and the adjusted feasible minimum mean ...
Guikai Hu, Qingguo Li, Shenghua Yu
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A method of coal gangue detection based on deep learning
矿业科学学报, 2021 In view of the requirement to separate gangue from coal in coal preparation factory and avoid complex artificial feature design process based on computer vision in the past, an end-to-end gangue detection method by deep learning based on YOLOv3 is ...
Zhao Xuejun, Li Jian
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Limits of Risks Ratios of Shrinkage Estimators under the Balanced Loss Function [PDF]
Journal of Siberian Federal University. Mathematics & Physics, 2021 In this paper we study the estimation of a multivariate normal mean under the balanced loss function. We present here a class of shrinkage estimators which generalizes the James-Stein estimator and we are interested to establish the asymptotic behaviour of risks ratios of these estimators to the maximum likelihood estimators (MLE).
Terbeche, Mekki +2 more
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Open Mathematics, 2022 One of the most common challenges in multivariate statistical analysis is estimating the mean parameters. A well-known approach of estimating the mean parameters is the maximum likelihood estimator (MLE).
Benkhaled Abdelkader +4 more
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Remote Sensing, 2022 A balanced dataset is generally beneficial to underwater acoustic target recognition. However, the imbalanced class distribution is always meted out in a real scene.
Yanxin Ma +6 more
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Bayesian estimation for Life-Time distribution parameter under Compound Loss Function with Optimal Sample Size Determination [PDF]
المجلة العراقية للعلوم الاحصائية, 2020 : This research aims to find Bayes estimator under symmetric and asymmetric two loss functions, such as the squared Log error loss function and entropy loss function, as well as a loss function that combines these two functions.
Safwan Nathem Rashad, Raya Al-Rassam
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Vestibular function and balance performance in children with sensorineural hearing loss
International Journal of Audiology, 2023 Balance difficulties are common in children with sensorineural hearing loss (SNHL). For some of these children, concomitant vestibular deficits may impact postural control. This study aimed to explore vestibular function, functional balance and postural control, and the relationship between these measures in children with SNHL.
Donella, Chisari +3 more
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Open Physics, 2023 Accelerated or partially accelerated life tests are particularly significant in life testing experiments since they save time and cost. Partially accelerated life tests are carried out when the data from accelerated life testing cannot be extrapolated to
Al Mutairi Aned +5 more
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Analysis of uncertainty measure using unified hybrid censored data with applications
Journal of Taibah University for Science, 2021 Entropy is a measure of random variable uncertainty that reflects the anticipated quantity of information. In this paper, estimation of Shannon entropy for Lomax distribution, viz unified hybrid censored data are considered.
Baria A. Helmy +2 more
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