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Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions
1994Balanced Loss Functions (BLFs) which reflect both goodness of fit and precision of estimation are described. Optimal estimates relative to BLFs are derived for estimation of a scalar mean, a vector mean and a vector of regression coefficients. Properties of these estimates are compared with those of maximum likelihood (ML) estimates and Bayesian ...
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Efficient balanced focal loss function for manipulated images detection
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), 2021Fatima Zahra El Biach +3 more
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An improvement of James-Stein estimator under the balanced loss function
Journal of the Korean Data And Information Science Society, 2023In-Bong Choi, Hoh-Yoo Baek, Jeong-Mi Lee
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Bayesian Estimation of Regression Coefficients Under Extended Balanced Loss Function
Communications in Statistics - Theory and Methods, 2014Anoop Chaturvedi
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Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function
Communications in Statistics - Theory and Methods, 2010Ashok K Bansal, Priyanka Aggarwal
exaly
Linearly admissible estimators of stochastic regression coefficient under balanced loss function
Statistics, 2014Mingxiang Cao +2 more
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