Results 21 to 30 of about 1,354,279 (305)
Decomposition of the mean absolute error (MAE) into systematic and unsystematic components
PLoS ONE, 2023 When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
S. Robeson, C. Willmott
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Load Forecasting Techniques for Power System: Research Challenges and Survey
IEEE Access, 2022 The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad +3 more
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A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter [PDF]
, 2003 This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Newey, Whitney K. +2 more
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The Bayesian ABEL Bound on the Mean Square Error [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 This paper deals with lower bound on the Mean Square Error (MSE). In the Bayesian framework, we present a new bound which is derived from a constrained optimization problem. This bound is found to be tighter than the Bayesian Bhattacharyya bound, the Reuven-Messer bound, the Bobrovsky-Zakai bound, and the Bayesian Cramer-Rao bound.
Renaux, A. +3 more
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New robust iterative minimum mean squared error-based interference alignment algorithm
The Journal of Engineering, 2014 Interference alignment (IA) is a promising technique for multiple input multiple output interference channels based systems, achieving the theoretical bound on degrees of freedom.
Sara Teodoro +4 more
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Frontiers in Plant Science, 2022 Irregular changes in the internal climates of protected cultivation systems can prevent attainment of optimal yield when the environmental conditions are not adequately monitored and controlled.
Daniel Dooyum Uyeh +12 more
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On the minimum of the mean-squared error in 2-means clustering [PDF]
Involve, a Journal of Mathematics, 2019 We study the minimum mean-squared error for 2-means clustering when the outcomes of the vector-valued random variable to be clustered are on two touching spheres of unit radius in $n$-dimensional Euclidean space and the underlying probability distribution is the normalized surface measure.
Bodmann, Bernhard G., George, Craig J.
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Estimation of conditional mean squared error of prediction for claims reserving
Annals of Actuarial Science, 2018 This paper studies estimation of the conditional mean squared error of prediction, conditional on what is known at the time of prediction. The particular problem considered is the assessment of actuarial reserving methods given data in the form of run ...
M. Lindholm, F. Lindskog, Felix Wahl
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Defense of the Least Squares Solution to Peelle’s Pertinent Puzzle
Algorithms, 2011 Generalized least squares (GLS) for model parameter estimation has a long and successful history dating to its development by Gauss in 1795. Alternatives can outperform GLS in some settings, and alternatives to GLS are sometimes sought when GLS exhibits ...
Nicolas Hengartner +4 more
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On the mean square error of randomized averaging algorithms [PDF]
Automatica, 2013 11 pages.
FRASCA, PAOLO, Julien M. Hendrickx
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