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2020
This chapter treats the problem of approximating and estimating the mean squared error of empirical best linear unbiased predictors of small area linear parameters under linear mixed models. This is done in several steps. First, when all the model parameters are unknown. Second, when only the variance component parameters are unknown.
Domingo Morales +3 more
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This chapter treats the problem of approximating and estimating the mean squared error of empirical best linear unbiased predictors of small area linear parameters under linear mixed models. This is done in several steps. First, when all the model parameters are unknown. Second, when only the variance component parameters are unknown.
Domingo Morales +3 more
openaire +1 more source
Minimum mean-square error quadrature
Journal of Statistical Computation and Simulation, 1993Minimum mean squared error linear estimators of the area under a curve are considered for cases when the observations are observed with error. The underlying functional form giving rise to the observations is left unspecified, leading to use of quadrature estimators for the true area.
Walter W. Piegorsch, A. John Bailer
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Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
IEEE Signal Processing Magazine, 2009semanticscholar +1 more source
Non-mean-square error criteria
IEEE Transactions on Information Theory, 1958While in the engineering literature non-mean-square error criteria for predictors are often presented as physically significant and then shunted aside because of mathematical unmanageability, it is shown here that ia the case of Gaussian processes all such criteria given ia three recent textbooks yield the same predictor as the linear minimum mean ...
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Mean Integrated Squared Error Sampling
Journal of the American Statistical Association, 1986Abstract Stratified sampling is considered, where (a) the mean integrated squared error (MISE) metric is used in place of the mean squared error (MSE) metric; (b) the entire distribution [i.e., f(x)], rather than a property of the distribution [e.g., E(x)], is used as a target of the procedure; (c) the distribution f(x) is estimated by a truncated ...
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Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error
IEEE transactions on circuits and systems for video technology (Print), 2017Sudeng Hu +5 more
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Towards complete and error-free genome assemblies of all vertebrate species
Nature, 2021Arang Rhie +2 more
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