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Robust minimum variance beamforming
Ellipsoidal calculus Hadamard product robust beamforming second-order cone programming
2015/8/10
This paper introduces an extension of minimum variance beamforming, also known as Capon's method, that explicitly takes into account variation or uncertainty in the assumed array response. Sources of ...
ON THE CONDITION FOR CONSISTENCY OF RESAMPLING ESTIMATORS OF VARIANCE OF TRIMMED L-STATISTICS
L-statistics bootstrap random weighting
2007/8/7
In this paper, a counter-example is presented to show that conditions given by[1] and [2] are not enough to guarantee the consistency of resampling estimators of varianceof trimmed L-statistics. To th...
ON INADMISSIBILITY OF SOME USUAL ESTIMATORS OF LOSS INCURRED IN ESTIMATING ERROR VARIANCE
Normal linear model unbiassed loss estim
2007/8/7
Under multivariant normal linear models, it is proved that usual loss estimators based on the uniformly minimum variance unbiased estimator and the best affinely equivariant estimator of error varianc...
ON THE SMALLEST POSSIBLE ASYMPTOTICALLY EFFICIENT VARIANCE IN SEMIPARAMETRIC MODELS
Semiparametric models the smallest poss
2007/8/7
In this paper, the author gives a sufficient and necessary condition under which is the smallest possible asymptotic variance for regular estimators of β given by Schick (1986), and gives an example t...