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» On the MSE robustness of batching estimators
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WSC
2001
13 years 6 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser
WSC
1994
13 years 6 months ago
Consistency of overlapping batch variances
Overlapping batch statistics estimate the variance of point estimators using overlapping batches (Schmeiser, Avramidis and Hashem 1990). In this paper we study sufficient conditio...
Demet C. Wood, Bruce W. Schmeiser
ICIP
2003
IEEE
14 years 6 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos
ICIP
2004
IEEE
14 years 6 months ago
Robust circle detection using a weighted mse estimator
In this paper we introduce a novel circle detection algorithm based on a weighted minimum mean square error (MSE) formulation. Traditional approaches to circle detections consist ...
Guido M. Schuster, Aggelos K. Katsaggelos
SMA
2010
ACM
192views Solid Modeling» more  SMA 2010»
12 years 11 months ago
Infinitesimally Robust estimation in general smoothly parametrized models
Abstract The aim of the paper is to give a coherent account of the robustness approach based on shrinking neighborhoods in the case of i.i.d. observations, and add some theoretical...
Matthias Kohl, Peter Ruckdeschel, Helmut Rieder