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Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions

1994
Balanced 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 ...
openaire   +1 more source

Efficient balanced focal loss function for manipulated images detection

2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), 2021
Fatima Zahra El Biach   +3 more
openaire   +1 more source

Φ admissibility of linear estimators of common mean parameter in general multivariate linear models under a balanced loss function

Communications in Statistics - Theory and Methods, 2021
Mingxiang Cao   +2 more
exaly  

An improvement of James-Stein estimator under the balanced loss function

Journal of the Korean Data And Information Science Society, 2023
In-Bong Choi, Hoh-Yoo Baek, Jeong-Mi Lee
openaire   +1 more source

Bayesian Estimation of Regression Coefficients Under Extended Balanced Loss Function

Communications in Statistics - Theory and Methods, 2014
Anoop Chaturvedi
exaly  

Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function

Communications in Statistics - Theory and Methods, 2010
Ashok K Bansal, Priyanka Aggarwal
exaly  

Bayes Predictor of One-Parameter Exponential Family Type Population Mean Under Balanced Loss Function

Communications in Statistics - Theory and Methods, 2006
Priyanka Aggarwal
exaly  

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