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Biased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems
(2018-10-26)
The optimal reconfiguration of radial Electrical Distribution Systems (EDSs) is a classical optimization problem that deals with the operation of the system and is of great interest to the electricity sector. Although there ...
Biased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems
(Ieee, 2018-01-01)
The optimal reconfiguration of radial Electrical Distribution Systems (EDSs) is a classical optimization problem that deals with the operation of the system and is of great interest to the electricity sector. Although there ...
A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
(Amer Statistical Assoc, 2019-04-03)
We discuss here an alternative approach for decreasing the bias of the closed-form estimators for the gamma distribution recently proposed by Ye and Chen in 2017. We show that, the new estimator has also closed-form ...
Modeling implicit bias with fuzzy cognitive maps
(2022-04-07)
This paper presents a Fuzzy Cognitive Map model to quantify implicit bias in structured datasets where features can be numeric or discrete. In our proposal, problem features are mapped to neural concepts that are initially ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Escola de Pós-Graduação em Economia da FGV, 2008-01-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2007-09-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...
A new projection estimate for multivariate location with minimax bias
(Elsevier Inc, 2010-07)
The maximum asymptotic bias of an estimator is a global robustness measure of its performance. The projection median estimator for multivariate location shows a remarkable behavior regarding asymptotic bias. In this paper ...
Learning from potentially biased statistics
(Brookings Institution Press, 2016-03)
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural ...
Origin of spin-glass and exchange bias in La1-3Sr2-3FeO3−γ nanoparticles
(AIP Publishing, 2014-03-18)